Supporting the whole compendium of functions on a mobile, there is the battery. Have been a prolific background about the efficient use of the mobile, and this work is one of these. It proposes a interesting way of preceding the availability of sensors in order to capture data. It reduces the battery consumption and doesn't affect the sampling process.
", "tags": [], "relations": {}, "dateAdded": "2013-08-21T05:19:33Z", "dateModified": "2013-08-21T05:22:30Z" } }, { "key": "HBU9G765", "version": 28, "library": { "type": "group", "id": 199727, "name": "partics PUJ", "links": { "alternate": { "href": "https://www.zotero.org/groups/partics_puj", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/199727/items/HBU9G765", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/partics_puj/items/HBU9G765", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/199727/items/4ZH23N5T", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1299362, "username": "johantorres", "name": "Johan Manuel Torres Bonilla", "links": { "alternate": { "href": "https://www.zotero.org/johantorres", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "HBU9G765", "version": 28, "parentItem": "4ZH23N5T", "itemType": "note", "note": "It its related to a novel enterprise on BGT called Lenddo, the principle is the same, they trust on you based on the opinion of your related persons. It makes the basis for an confiability index so this measurement is a big insider on the reputation.
", "tags": [], "relations": {}, "dateAdded": "2013-08-21T05:15:13Z", "dateModified": "2013-08-21T05:18:11Z" } }, { "key": "HTB49XVC", "version": 22, "library": { "type": "group", "id": 199727, "name": "partics PUJ", "links": { "alternate": { "href": "https://www.zotero.org/groups/partics_puj", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/199727/items/HTB49XVC", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/partics_puj/items/HTB49XVC", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/199727/items/KTDKUEWM", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1299362, "username": "johantorres", "name": "Johan Manuel Torres Bonilla", "links": { "alternate": { "href": "https://www.zotero.org/johantorres", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "HTB49XVC", "version": 22, "parentItem": "KTDKUEWM", "itemType": "note", "note": "Just like the known tool for traffic \"waze\" It will be really useful to know on real time, the current status of the city in matter of safety, including important emergency info, like proximity with hospitals, or police stations. The advantage on waze is the reporting, because it happens inside the vehicle, but a trasient person on the street maybe will not take time to do the reporting.
", "tags": [], "relations": {}, "dateAdded": "2013-08-21T05:04:10Z", "dateModified": "2013-08-21T05:08:22Z" } }, { "key": "XEVXZCDX", "version": 16, "library": { "type": "group", "id": 199727, "name": "partics PUJ", "links": { "alternate": { "href": "https://www.zotero.org/groups/partics_puj", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/199727/items/XEVXZCDX", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/partics_puj/items/XEVXZCDX", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/199727/items/RRSCSD6Q", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1299362, "username": "johantorres", "name": "Johan Manuel Torres Bonilla", "links": { "alternate": { "href": "https://www.zotero.org/johantorres", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "XEVXZCDX", "version": 16, "parentItem": "RRSCSD6Q", "itemType": "note", "note": "The autors show us a creative way of hiding our actual position, and identity. It takes advantage of the hops among linked participants, to cover the original source of the sensed data. I wonder if will be a method of finding the source based to among the linked participants of the participants from the last hop, maybe a reverse engineering could break that safety method.
", "tags": [], "relations": {}, "dateAdded": "2013-08-21T05:00:35Z", "dateModified": "2013-08-21T05:04:08Z" } }, { "key": "RM7CBS9R", "version": 14, "library": { "type": "group", "id": 199727, "name": "partics PUJ", "links": { "alternate": { "href": "https://www.zotero.org/groups/partics_puj", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/199727/items/RM7CBS9R", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/partics_puj/items/RM7CBS9R", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/199727/items/DK73PMJA", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1299362, "username": "johantorres", "name": "Johan Manuel Torres Bonilla", "links": { "alternate": { "href": "https://www.zotero.org/johantorres", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "RM7CBS9R", "version": 14, "parentItem": "DK73PMJA", "itemType": "note", "note": "There is a novel and interesting thing about this work. It focuses on the task's assignment. There is low background on those efforts and Matador shows and opportunistic way of doing so. Based on the contextual user information, it searches for tasks which fits with the environment, the weather, the hour, the place, etc.
", "tags": [], "relations": {}, "dateAdded": "2013-08-21T04:57:49Z", "dateModified": "2013-08-21T05:00:23Z" } }, { "key": "JBTNM9GJ", "version": 10, "library": { "type": "group", "id": 199727, "name": "partics PUJ", "links": { "alternate": { "href": "https://www.zotero.org/groups/partics_puj", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/199727/items/JBTNM9GJ", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/partics_puj/items/JBTNM9GJ", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/199727/items/HFDFM8RQ", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1299362, "username": "johantorres", "name": "Johan Manuel Torres Bonilla", "links": { "alternate": { "href": "https://www.zotero.org/johantorres", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "JBTNM9GJ", "version": 10, "parentItem": "HFDFM8RQ", "itemType": "note", "note": "It focuses on recruitment based on geographic and temporal coverage, as determined by context-annotated mobility proles that model transportation mode, location, and time.
\nA mobility prole is derived from the participants' context-annotated mobility traces: streams of previously-collected location, time, and context data
", "tags": [], "relations": {}, "dateAdded": "2013-08-21T04:52:22Z", "dateModified": "2013-08-21T04:56:08Z" } }, { "key": "FCZT8CT2", "version": 9, "library": { "type": "group", "id": 199727, "name": "partics PUJ", "links": { "alternate": { "href": "https://www.zotero.org/groups/partics_puj", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/199727/items/FCZT8CT2", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/partics_puj/items/FCZT8CT2", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/199727/items/URETUBT6", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1299362, "username": "johantorres", "name": "Johan Manuel Torres Bonilla", "links": { "alternate": { "href": "https://www.zotero.org/johantorres", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "FCZT8CT2", "version": 9, "parentItem": "URETUBT6", "itemType": "note", "note": "the issue to refer on the paper is \"developing a recruitment framework to enable organizers to identify well-suited participants for data collections based on geographic and temporal availability as well as participation habits.\"
\nIt recruits by contribution habits, availability in the area of interest, etc.
\n\n
The article provides related work in terms of models, algorithms, and systems that share properties similar to the participatory sensing recruitment system, Mobility Models, Reputation Models, Selection Services,
", "tags": [], "relations": {}, "dateAdded": "2013-08-21T04:52:22Z", "dateModified": "2013-08-21T04:55:11Z" } }, { "key": "QDJR5UVA", "version": 9, "library": { "type": "group", "id": 199727, "name": "partics PUJ", "links": { "alternate": { "href": "https://www.zotero.org/groups/partics_puj", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/199727/items/QDJR5UVA", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/partics_puj/items/QDJR5UVA", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/199727/items/ZD2TCX7V", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1299362, "username": "johantorres", "name": "Johan Manuel Torres Bonilla", "links": { "alternate": { "href": "https://www.zotero.org/johantorres", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "QDJR5UVA", "version": 9, "parentItem": "ZD2TCX7V", "itemType": "note", "note": "uses location data sampled from everyday mobile phones to calculate personalized
estimates of environmental impact and exposure.
includes mobile handset based GPS location data collection, and server-side processing stages such as HMM-based activity classication (to determine transportation mode); automatic location data segmentation into \\trips\"; lookup of trac, weather, and other context data needed by the models; and environmental impact and exposure calculation using ecient implementations of established models.
\n\n
It enumerates three apps Ecorio, Carbon Hero and UbiGreen
\n\n
It provides four metrics of exposure; Carbon Impact, Sensitive Site Impact, Smog Exposure, Fast Food Exposure
", "tags": [], "relations": {}, "dateAdded": "2013-08-21T04:52:22Z", "dateModified": "2013-08-21T04:54:59Z" } }, { "key": "ZD2TCX7V", "version": 9, "library": { "type": "group", "id": 199727, "name": "partics PUJ", "links": { "alternate": { "href": "https://www.zotero.org/groups/partics_puj", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/199727/items/ZD2TCX7V", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/partics_puj/items/ZD2TCX7V", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1299362, "username": "johantorres", "name": "Johan Manuel Torres Bonilla", "links": { "alternate": { "href": "https://www.zotero.org/johantorres", "type": "text/html" } } }, "creatorSummary": "Mun et al.", "parsedDate": "2009", "numChildren": 1 }, "data": { "key": "ZD2TCX7V", "version": 9, "itemType": "conferencePaper", "title": "PEIR, the personal environmental impact report, as a platform for participatory sensing systems research", "creators": [ { "creatorType": "author", "firstName": "Min", "lastName": "Mun" }, { "creatorType": "author", "firstName": "Péter", "lastName": "Boda" }, { "creatorType": "author", "firstName": "Sasank", "lastName": "Reddy" }, { "creatorType": "author", "firstName": "Katie", "lastName": "Shilton" }, { "creatorType": "author", "firstName": "Nathan", "lastName": "Yau" }, { "creatorType": "author", "firstName": "Jeff", "lastName": "Burke" }, { "creatorType": "author", "firstName": "Deborah", "lastName": "Estrin" }, { "creatorType": "author", "firstName": "Mark", "lastName": "Hansen" }, { "creatorType": "author", "firstName": "Eric", "lastName": "Howard" }, { "creatorType": "author", "firstName": "Ruth", "lastName": "West" } ], "abstractNote": "PEIR, the Personal Environmental Impact Report, is a participatory sensing application that uses location data sampled from everyday mobile phones to calculate personalized estimates of environmental impact and exposure. It is an example of an important class of emerging mobile systems that combine the distributed processing capacity of the web with the personal reach of mobile technology. This paper documents and evaluates the running PEIR system, which includes mobile handset based GPS location data collection, and server-side processing stages such as HMM-based activity classification (to determine transportation mode); automatic location data segmentation into “trips”; lookup of traffic, weather, and other context data needed by the models; and environmental impact and exposure calculation using efficient implementations of established models. Additionally, we describe the user interface components of PEIR and present usage statistics from a two month snapshot of system use. The paper also outlines new algorithmic components developed based on experience with the system and undergoing testing for integration into PEIR, including: new map-matching and GSM-augmented activity classification techniques, and a selective hiding mechanism that generates believable proxy traces for times a user does not want their real location revealed.", "proceedingsTitle": "", "conferenceName": "", "publisher": "ACM Press", "place": "", "date": "2009", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "55", "series": "", "seriesNumber": "", "DOI": "10.1145/1555816.1555823", "ISBN": "9781605585666", "citationKey": "", "url": "https://bases.javeriana.edu.co/f5-w-687474703a2f2f646c2e61636d2e6f7267$$/citation.cfm?id=1555816.1555823&coll=DL&dl=ACM&CFID=352087078&CFTOKEN=81026880", "accessDate": "2013-08-06T05:03:57Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "CrossRef", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "--Calidad del Aire" }, { "tag": "--Medio Ambiente" }, { "tag": "--Participatory Sensing" }, { "tag": "--Posicionamiento" }, { "tag": "--Trafico" }, { "tag": "Automatic location" }, { "tag": "Classification technique" }, { "tag": "Computer supported cooperative work" }, { "tag": "Context data" }, { "tag": "Distributed processing" }, { "tag": "Efficient implementation" }, { "tag": "Environmental impact" }, { "tag": "GPS location" }, { "tag": "Information retrieval systems" }, { "tag": "Location data" }, { "tag": "Lookups" }, { "tag": "Map matching" }, { "tag": "Mobile Technology" }, { "tag": "Mobile handsets" }, { "tag": "Mobile system" }, { "tag": "Mobile systems" }, { "tag": "Paper documents" }, { "tag": "Sensing applications" }, { "tag": "Sensing systems" }, { "tag": "Sensors" }, { "tag": "Server-side processing" }, { "tag": "System use" }, { "tag": "TOP +50" }, { "tag": "Telecommunication equipment" }, { "tag": "Telephone sets" }, { "tag": "Transportation mode" }, { "tag": "Usage statistics" }, { "tag": "User interface components" }, { "tag": "User interfaces" }, { "tag": "environmental impact and exposure", "type": 1 }, { "tag": "location data", "type": 1 }, { "tag": "mobile system", "type": 1 }, { "tag": "participatory sensing", "type": 1 } ], "collections": [ "K45K8TJR" ], "relations": { "dc:replaces": "http://zotero.org/groups/199727/items/HRN5RHRA", "owl:sameAs": "http://zotero.org/groups/151046/items/5SBWITAC" }, "dateAdded": "2013-08-21T04:49:05Z", "dateModified": "2013-08-21T04:54:59Z" } }, { "key": "CVPBZX5S", "version": 9, "library": { "type": "group", "id": 199727, "name": "partics PUJ", "links": { "alternate": { "href": "https://www.zotero.org/groups/partics_puj", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/199727/items/CVPBZX5S", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/partics_puj/items/CVPBZX5S", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/199727/items/CD8T5G6K", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1299362, "username": "johantorres", "name": "Johan Manuel Torres Bonilla", "links": { "alternate": { "href": "https://www.zotero.org/johantorres", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "CVPBZX5S", "version": 9, "parentItem": "CD8T5G6K", "itemType": "note", "note": "It's an article about Internet Predictions, begins, with a Particpatory Sensing prior definition:
\n\"as the process whereby individuals and communities use evermore capable mobile phones and cloud services to collect and analyze systematic data for use in discovery. The convergence of technology and analytical innovation with a citizenry that is increasingly comfortable using mobile phones and online social networking sets the stage for this technology to dramatically impact many aspects of our daily lives.\"
\n\n
Enumerates three componentes: Ubiquitous Data Capture, Leveraged Data Processing and Management and The Personal Data Vault.
\n\n
Also brings a set of distinct uses por the participatory sensing:
\ntransportation and consumption habits,
\ncorporations can promote more sustainable practices among employees
\nadvocacy and civic engagement
", "tags": [], "relations": {}, "dateAdded": "2013-08-21T04:52:22Z", "dateModified": "2013-08-21T04:54:40Z" } }, { "key": "NVD239IX", "version": 8, "library": { "type": "group", "id": 199727, "name": "partics PUJ", "links": { "alternate": { "href": "https://www.zotero.org/groups/partics_puj", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/199727/items/NVD239IX", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/partics_puj/items/NVD239IX", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1299362, "username": "johantorres", "name": "Johan Manuel Torres Bonilla", "links": { "alternate": { "href": "https://www.zotero.org/johantorres", "type": "text/html" } } }, "creatorSummary": "Shilton et al.", "parsedDate": "2008-10-01", "numChildren": 1 }, "data": { "key": "NVD239IX", "version": 8, "itemType": "conferencePaper", "title": "Participatory design of sensing networks: strengths and challenges", "creators": [ { "creatorType": "author", "firstName": "K.", "lastName": "Shilton" }, { "creatorType": "author", "firstName": "N.", "lastName": "Ramanathan" }, { "creatorType": "author", "firstName": "S.", "lastName": "Reddy" }, { "creatorType": "author", "firstName": "V.", "lastName": "Samanta" }, { "creatorType": "author", "firstName": "J.", "lastName": "Burke" }, { "creatorType": "author", "firstName": "D.", "lastName": "Estrin" }, { "creatorType": "author", "firstName": "M.", "lastName": "Hansen" }, { "creatorType": "author", "firstName": "M.", "lastName": "Srivastava" } ], "abstractNote": "Participatory design (PD) involves users in all phases of design to build systems that fit user needs while simultaneously helping users understand complex systems. We argue that traditional PD techniques can benefit participatory sensing: community-based participatory research (CBPR) projects in which complex technologies, such as sensing networks using mobile phones, are the research instruments. Based on our pilot work on CycleSense, a community-based data gathering system for bicycle commuters, we discuss the benefits and challenges of PD in participatory sensing settings, and outline a method to integrate PD into the research process.", "proceedingsTitle": "", "conferenceName": "Proceedings of the Tenth Anniversary Conference on Participatory Design 2008", "publisher": "Indiana University", "place": "", "date": "10/01/2008", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "282-285", "series": "", "seriesNumber": "", "DOI": "", "ISBN": "978-0-9818561-0-0", "citationKey": "", "url": "http://dl.acm.org/citation.cfm?id=1795234.1795301", "accessDate": "2013-08-06T05:23:36Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "Participatory design of sensing networks", "language": "", "libraryCatalog": "bases.javeriana.edu.co", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "--Participatory Design" }, { "tag": "--Participatory Sensing" }, { "tag": "TOP +50" }, { "tag": "applications ps" }, { "tag": "community-based participatory research", "type": 1 }, { "tag": "participatory design" }, { "tag": "sensing networks", "type": 1 } ], "collections": [ "K45K8TJR" ], "relations": { "dc:replaces": "http://zotero.org/groups/199727/items/BPZC3E49", "owl:sameAs": "http://zotero.org/groups/151046/items/DTMR9XID" }, "dateAdded": "2013-08-21T04:49:05Z", "dateModified": "2013-08-21T04:54:13Z" } }, { "key": "AVB8EG85", "version": 8, "library": { "type": "group", "id": 199727, "name": "partics PUJ", "links": { "alternate": { "href": "https://www.zotero.org/groups/partics_puj", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/199727/items/AVB8EG85", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/partics_puj/items/AVB8EG85", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/199727/items/NVD239IX", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1299362, "username": "johantorres", "name": "Johan Manuel Torres Bonilla", "links": { "alternate": { "href": "https://www.zotero.org/johantorres", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "AVB8EG85", "version": 8, "parentItem": "NVD239IX", "itemType": "note", "note": "benefits of PD for participatory sensing. Participatory design methods are intended to incorporate local knowledge within the technology design process. Adding techniques such as participant observation, storytelling, and cooperative prototyping to the design of sensing networks can ensure that participatory sensing efforts collect data that both reflects and contributes to local knowledge.
", "tags": [], "relations": {}, "dateAdded": "2013-08-21T04:52:22Z", "dateModified": "2013-08-21T04:54:13Z" } }, { "key": "P6JNFH92", "version": 8, "library": { "type": "group", "id": 199727, "name": "partics PUJ", "links": { "alternate": { "href": "https://www.zotero.org/groups/partics_puj", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/199727/items/P6JNFH92", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/partics_puj/items/P6JNFH92", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/199727/items/FCVAVF2I", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1299362, "username": "johantorres", "name": "Johan Manuel Torres Bonilla", "links": { "alternate": { "href": "https://www.zotero.org/johantorres", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "P6JNFH92", "version": 8, "parentItem": "FCVAVF2I", "itemType": "note", "note": "the article explores the pilot responses about rewarding smartphone users for completing a task. It takes difference from Mechanical Turk being a sensor task, taking pics from trash can a geo labeling it.
", "tags": [], "relations": {}, "dateAdded": "2013-08-21T04:52:22Z", "dateModified": "2013-08-21T04:53:53Z" } }, { "key": "FCVAVF2I", "version": 7, "library": { "type": "group", "id": 199727, "name": "partics PUJ", "links": { "alternate": { "href": "https://www.zotero.org/groups/partics_puj", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/199727/items/FCVAVF2I", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/partics_puj/items/FCVAVF2I", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1299362, "username": "johantorres", "name": "Johan Manuel Torres Bonilla", "links": { "alternate": { "href": "https://www.zotero.org/johantorres", "type": "text/html" } } }, "creatorSummary": "Reddy et al.", "parsedDate": "2010", "numChildren": 1 }, "data": { "key": "FCVAVF2I", "version": 7, "itemType": "conferencePaper", "title": "Examining micro-payments for participatory sensing data collections", "creators": [ { "creatorType": "author", "firstName": "Sasank", "lastName": "Reddy" }, { "creatorType": "author", "firstName": "Deborah", "lastName": "Estrin" }, { "creatorType": "author", "firstName": "Mark", "lastName": "Hansen" }, { "creatorType": "author", "firstName": "Mani", "lastName": "Srivastava" } ], "abstractNote": "The rapid adoption of mobile devices that are able to capture and transmit a wide variety of sensing modalities (media and location) has enabled a new data collection paradigm - participatory sensing. Participatory sensing initiatives organize individuals to gather sensed information using mobile devices through cooperative data collection. A major factor in the success of these data collection projects is sustained, high quality participation. However, since data capture requires a time and energy commitment from individuals, incentives are often introduced to motivate participants. In this work, we investigate the use of micro-payments as an incentive model. We define a set of metrics that can be used to evaluate the effectiveness of incentives and report on findings from a pilot study using various micro-payment schemes in a university campus sustainability initiative.", "proceedingsTitle": "", "conferenceName": "", "publisher": "ACM Press", "place": "", "date": "2010", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "33", "series": "", "seriesNumber": "", "DOI": "10.1145/1864349.1864355", "ISBN": "9781605588438", "citationKey": "", "url": "https://bases.javeriana.edu.co/f5-w-687474703a2f2f646c2e61636d2e6f7267$$/citation.cfm?id=1864349.1864355&coll=DL&dl=ACM&CFID=352087078&CFTOKEN=81026880", "accessDate": "2013-08-06T05:19:27Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "CrossRef", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "--Participatory Sensing" }, { "tag": "--Recompensa/Incentivos" }, { "tag": "Data acquisition" }, { "tag": "Data capture" }, { "tag": "Data collection" }, { "tag": "High quality" }, { "tag": "Human computer interaction" }, { "tag": "Major factors" }, { "tag": "Micro-payment schemes" }, { "tag": "Micropayments" }, { "tag": "Mobile devices" }, { "tag": "Mobile sensing systems" }, { "tag": "Pilot studies" }, { "tag": "Portable equipment" }, { "tag": "Sensing modalities" }, { "tag": "Sensors" }, { "tag": "TOP +50" }, { "tag": "Ubiquitous computing" }, { "tag": "University campus" }, { "tag": "exploratory study" }, { "tag": "incentives" }, { "tag": "incentives", "type": 1 }, { "tag": "mobile sensing systems", "type": 1 }, { "tag": "participatory sensing" }, { "tag": "participatory sensing", "type": 1 }, { "tag": "payments" } ], "collections": [ "K45K8TJR" ], "relations": { "dc:replaces": "http://zotero.org/groups/199727/items/HJQUTNWR", "owl:sameAs": "http://zotero.org/groups/151046/items/EUMI9T6F" }, "dateAdded": "2013-08-21T04:49:05Z", "dateModified": "2013-08-21T04:53:31Z" } }, { "key": "WRVXT3Z5", "version": 10, "library": { "type": "group", "id": 199727, "name": "partics PUJ", "links": { "alternate": { "href": "https://www.zotero.org/groups/partics_puj", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/199727/items/WRVXT3Z5", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/partics_puj/items/WRVXT3Z5", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1299362, "username": "johantorres", "name": "Johan Manuel Torres Bonilla", "links": { "alternate": { "href": "https://www.zotero.org/johantorres", "type": "text/html" } } }, "creatorSummary": "Reddy et al.", "parsedDate": "2009", "numChildren": 0 }, "data": { "key": "WRVXT3Z5", "version": 10, "itemType": "conferencePaper", "title": "Using Context Annotated Mobility Profiles to Recruit Data Collectors in Participatory Sensing", "creators": [ { "creatorType": "author", "firstName": "Sasank", "lastName": "Reddy" }, { "creatorType": "author", "firstName": "Katie", "lastName": "Shilton" }, { "creatorType": "author", "firstName": "Jeff", "lastName": "Burke" }, { "creatorType": "author", "firstName": "Deborah", "lastName": "Estrin" }, { "creatorType": "author", "firstName": "Mark", "lastName": "Hansen" }, { "creatorType": "author", "firstName": "Mani", "lastName": "Srivastava" } ], "abstractNote": "Mobile phones and accompanying network layers provide a platform to capture and share location, image, and acoustic data. This substrate enables participatory sensing: coordinated data gathering by individuals and communities to explore the world around them. Realizing such widespread and participatory sensing poses difficult challenges. In this paper, we discuss one particular challenge: creating a recruitment service to enable sensing organizers to select well-suited participants. Our approach concentrates on finding participants based on geographic and temporal coverage, as determined by context-annotated mobility profiles that model transportation mode, location, and time. We outline a three-stage recruitment framework designed to be parsimonious so as to limit risk to participants by reducing the location and context information revealed to the system. Finally, we illustrate the utility of the framework, along with corresponding modeling technique for mobility information, by analyzing data from a pilot mobility study consisting of ten users.", "proceedingsTitle": "Proceedings of the 4th International Symposium on Location and Context Awareness", "conferenceName": "", "publisher": "Springer-Verlag", "place": "Berlin, Heidelberg", "date": "2009", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "52–69", "series": "LoCA '09", "seriesNumber": "", "DOI": "10.1007/978-3-642-01721-6_4", "ISBN": "978-3-642-01720-9", "citationKey": "", "url": "http://dx.doi.org/10.1007/978-3-642-01721-6_4", "accessDate": "2013-02-19T03:48:05Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ACM Digital Library", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Mobility Modeling", "type": 1 }, { "tag": "location based services", "type": 1 }, { "tag": "participatory sensing", "type": 1 }, { "tag": "profiling" }, { "tag": "recruitment" } ], "collections": [], "relations": {}, "dateAdded": "2013-08-21T04:52:22Z", "dateModified": "2013-08-21T04:52:22Z" } }, { "key": "ZT48THEN", "version": 9, "library": { "type": "group", "id": 199727, "name": "partics PUJ", "links": { "alternate": { "href": "https://www.zotero.org/groups/partics_puj", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/199727/items/ZT48THEN", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/partics_puj/items/ZT48THEN", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1299362, "username": "johantorres", "name": "Johan Manuel Torres Bonilla", "links": { "alternate": { "href": "https://www.zotero.org/johantorres", "type": "text/html" } } }, "creatorSummary": "Reddy et al.", "parsedDate": "2010", "numChildren": 0 }, "data": { "key": "ZT48THEN", "version": 9, "itemType": "conferencePaper", "title": "Recruitment framework for participatory sensing data collections", "creators": [ { "creatorType": "author", "firstName": "Sasank", "lastName": "Reddy" }, { "creatorType": "author", "firstName": "Deborah", "lastName": "Estrin" }, { "creatorType": "author", "firstName": "Mani", "lastName": "Srivastava" } ], "abstractNote": "Mobile phones have evolved from devices that are just used for voice and text communication to platforms that are able to capture and transmit a range of data types (image, audio, and location). The adoption of these increasingly capable devices by society has enabled a potentially pervasive sensing paradigm - participatory sensing. A coordinated participatory sensing system engages individuals carrying mobile phones to explore phenomena of interest using in situ data collection. For participatory sensing to succeed, several technical challenges need to be solved. In this paper, we discuss one particular issue: developing a recruitment framework to enable organizers to identify well-suited participants for data collections based on geographic and temporal availability as well as participation habits. This recruitment system is evaluated through a series of pilot data collections where volunteers explored sustainable processes on a university campus.", "proceedingsTitle": "Proceedings of the 8th international conference on Pervasive Computing", "conferenceName": "", "publisher": "Springer-Verlag", "place": "Berlin, Heidelberg", "date": "2010", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "138–155", "series": "Pervasive'10", "seriesNumber": "", "DOI": "10.1007/978-3-642-12654-3_9", "ISBN": "3-642-12653-7, 978-3-642-12653-6", "citationKey": "", "url": "http://dx.doi.org/10.1007/978-3-642-12654-3_9", "accessDate": "2013-02-19T03:48:05Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ACM Digital Library", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "mobile computing", "type": 1 }, { "tag": "participatory sensing", "type": 1 }, { "tag": "recruitment" }, { "tag": "urban sensing", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2013-08-21T04:52:22Z", "dateModified": "2013-08-21T04:52:22Z" } }, { "key": "6QN7GZE5", "version": 5, "library": { "type": "group", "id": 199727, "name": "partics PUJ", "links": { "alternate": { "href": "https://www.zotero.org/groups/partics_puj", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/199727/items/6QN7GZE5", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/partics_puj/items/6QN7GZE5", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/199727/items/PBPTERN6", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1299362, "username": "johantorres", "name": "Johan Manuel Torres Bonilla", "links": { "alternate": { "href": "https://www.zotero.org/johantorres", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "6QN7GZE5", "version": 5, "parentItem": "PBPTERN6", "itemType": "note", "note": "This paper is an approximation to the applications of participatory sensing on the healthcare. It has dense examples of usages and explores some important features of it.
", "tags": [], "relations": {}, "dateAdded": "2013-08-21T04:52:22Z", "dateModified": "2013-08-21T04:52:22Z" } }, { "key": "2FWB9PU9", "version": 5, "library": { "type": "group", "id": 199727, "name": "partics PUJ", "links": { "alternate": { "href": "https://www.zotero.org/groups/partics_puj", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/199727/items/2FWB9PU9", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/partics_puj/items/2FWB9PU9", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/199727/items/PXXMUR79", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1299362, "username": "johantorres", "name": "Johan Manuel Torres Bonilla", "links": { "alternate": { "href": "https://www.zotero.org/johantorres", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "2FWB9PU9", "version": 5, "parentItem": "PXXMUR79", "itemType": "note", "note": "\"focuses on methods to model the sensing behavior of individuals, access their spatial and temporal availability, and determine appropriate feedback mechanisms to help in the data collection process.\"
\noverview software architecture created for participatory sensing
\ndescribe models for quality of sampling and ideas regarding mobility and feedback
\npresent basic conclusions from preliminary pilot studies.
", "tags": [], "relations": {}, "dateAdded": "2013-08-21T04:52:22Z", "dateModified": "2013-08-21T04:52:22Z" } }, { "key": "9GN44IDI", "version": 5, "library": { "type": "group", "id": 199727, "name": "partics PUJ", "links": { "alternate": { "href": "https://www.zotero.org/groups/partics_puj", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/199727/items/9GN44IDI", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/partics_puj/items/9GN44IDI", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/199727/items/TETM2RWU", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1299362, "username": "johantorres", "name": "Johan Manuel Torres Bonilla", "links": { "alternate": { "href": "https://www.zotero.org/johantorres", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "9GN44IDI", "version": 5, "parentItem": "TETM2RWU", "itemType": "note", "note": "The main objective is to log the meals. It posses a tool for imaging clustering named ImageScape. DietSense takes pictures of the food and keeps register of that.
", "tags": [], "relations": {}, "dateAdded": "2013-08-21T04:52:22Z", "dateModified": "2013-08-21T04:52:22Z" } }, { "key": "MGIM7VAK", "version": 5, "library": { "type": "group", "id": 199727, "name": "partics PUJ", "links": { "alternate": { "href": "https://www.zotero.org/groups/partics_puj", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/199727/items/MGIM7VAK", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/partics_puj/items/MGIM7VAK", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/199727/items/TWEVF9DN", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1299362, "username": "johantorres", "name": "Johan Manuel Torres Bonilla", "links": { "alternate": { "href": "https://www.zotero.org/johantorres", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "MGIM7VAK", "version": 5, "parentItem": "TWEVF9DN", "itemType": "note", "note": "In this paper, is presented architecture and algorithms for route data inferences and visualization. It presents the configuration of sensors used on biketastic and the results on a pilot test.
", "tags": [], "relations": {}, "dateAdded": "2013-08-21T04:52:22Z", "dateModified": "2013-08-21T04:52:22Z" } }, { "key": "PBPTERN6", "version": 5, "library": { "type": "group", "id": 199727, "name": "partics PUJ", "links": { "alternate": { "href": "https://www.zotero.org/groups/partics_puj", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/199727/items/PBPTERN6", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/partics_puj/items/PBPTERN6", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1299362, "username": "johantorres", "name": "Johan Manuel Torres Bonilla", "links": { "alternate": { "href": "https://www.zotero.org/johantorres", "type": "text/html" } } }, "creatorSummary": "Graham et al.", "parsedDate": "2011-03", "numChildren": 1 }, "data": { "key": "PBPTERN6", "version": 5, "itemType": "journalArticle", "title": "Information Technology research challenges for healthcare: from discovery to delivery", "creators": [ { "creatorType": "author", "firstName": "Susan", "lastName": "Graham" }, { "creatorType": "author", "firstName": "Deborah", "lastName": "Estrin" }, { "creatorType": "author", "firstName": "Eric", "lastName": "Horvitz" }, { "creatorType": "author", "firstName": "Isaac", "lastName": "Kohane" }, { "creatorType": "author", "firstName": "Elizabeth", "lastName": "Mynatt" }, { "creatorType": "author", "firstName": "Ida", "lastName": "Sim" } ], "abstractNote": "This whitepaper is a reprint from the Computing Community Consortium (http://www.cra.org/ccc/), first printed on May 25, 2010. This paper is an outgrowth of the workshop, \"Discovery and Innovation in Health IT,\" sponsored by the National Science Foundation, the Office of the National Coordinator for Health Information Technology, the National Institute of Standards and Technology, the National Library of Medicine, the Agency for Healthcare Research and Quality, the Computing Community Consortium, and the American Medical Informatics Association. The workshop was held at the Parc 55 Hotel in San Francisco on October 29 and 30, 2009.", "publicationTitle": "SIGHIT Rec.", "publisher": "", "place": "", "date": "March 2011", "volume": "1", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "4–9", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1145/1971706.1971708", "citationKey": "", "url": "http://doi.acm.org/10.1145/1971706.1971708", "accessDate": "2013-02-19T03:48:05Z", "PMID": "", "PMCID": "", "ISSN": "2158-8813", "archive": "", "archiveLocation": "", "shortTitle": "Information Technology research challenges for healthcare", "language": "", "libraryCatalog": "ACM Digital Library", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "applications ps" }, { "tag": "enhancing wellness" }, { "tag": "health IT", "type": 1 }, { "tag": "health informatics", "type": 1 }, { "tag": "health records", "type": 1 } ], "collections": [ "K45K8TJR" ], "relations": {}, "dateAdded": "2013-08-21T04:52:22Z", "dateModified": "2013-08-21T04:52:22Z" } }, { "key": "SC3IFZ8M", "version": 5, "library": { "type": "group", "id": 199727, "name": "partics PUJ", "links": { "alternate": { "href": "https://www.zotero.org/groups/partics_puj", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/199727/items/SC3IFZ8M", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/partics_puj/items/SC3IFZ8M", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1299362, "username": "johantorres", "name": "Johan Manuel Torres Bonilla", "links": { "alternate": { "href": "https://www.zotero.org/johantorres", "type": "text/html" } } }, "creatorSummary": "Mun et al.", "parsedDate": "2010", "numChildren": 1 }, "data": { "key": "SC3IFZ8M", "version": 5, "itemType": "conferencePaper", "title": "Personal data vaults: a locus of control for personal data streams", "creators": [ { "creatorType": "author", "firstName": "Min", "lastName": "Mun" }, { "creatorType": "author", "firstName": "Shuai", "lastName": "Hao" }, { "creatorType": "author", "firstName": "Nilesh", "lastName": "Mishra" }, { "creatorType": "author", "firstName": "Katie", "lastName": "Shilton" }, { "creatorType": "author", "firstName": "Jeff", "lastName": "Burke" }, { "creatorType": "author", "firstName": "Deborah", "lastName": "Estrin" }, { "creatorType": "author", "firstName": "Mark", "lastName": "Hansen" }, { "creatorType": "author", "firstName": "Ramesh", "lastName": "Govindan" } ], "abstractNote": "The increasing ubiquity of the mobile phone is creating many opportunities for personal context sensing, and will result in massive databases of individuals' sensitive information incorporating locations, movements, images, text annotations, and even health data. In existing system architectures, users upload their raw (unprocessed or filtered) data streams directly to content-service providers and have little control over their data once they \"opt-in\". We present Personal Data Vaults (PDVs), a privacy architecture in which individuals retain ownership of their data. Data are routinely filtered before being shared with content-service providers, and users or data custodian services can participate in making controlled data-sharing decisions. Introducing a PDV gives users flexible and granular access control over data. To reduce the burden on users and improve usability, we explore three mechanisms for managing data policies: Granular ACL, Trace-audit and Rule Recommender. We have implemented a proof-of-concept PDV and evaluated it using real data traces collected from two personal participatory sensing applications.", "proceedingsTitle": "Proceedings of the 6th International COnference", "conferenceName": "", "publisher": "ACM", "place": "New York, NY, USA", "date": "2010", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "17:1–17:12", "series": "Co-NEXT '10", "seriesNumber": "", "DOI": "10.1145/1921168.1921191", "ISBN": "978-1-4503-0448-1", "citationKey": "", "url": "http://doi.acm.org/10.1145/1921168.1921191", "accessDate": "2013-02-19T03:48:05Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "Personal data vaults", "language": "", "libraryCatalog": "ACM Digital Library", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "personal participatory sensing", "type": 1 }, { "tag": "privacy architecture" }, { "tag": "privacy policy", "type": 1 }, { "tag": "security" } ], "collections": [ "K45K8TJR" ], "relations": {}, "dateAdded": "2013-08-21T04:52:22Z", "dateModified": "2013-08-21T04:52:22Z" } }, { "key": "JJ2CDP8F", "version": 5, "library": { "type": "group", "id": 199727, "name": "partics PUJ", "links": { "alternate": { "href": "https://www.zotero.org/groups/partics_puj", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/199727/items/JJ2CDP8F", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/partics_puj/items/JJ2CDP8F", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1299362, "username": "johantorres", "name": "Johan Manuel Torres Bonilla", "links": { "alternate": { "href": "https://www.zotero.org/johantorres", "type": "text/html" } } }, "creatorSummary": "Ramanathan et al.", "parsedDate": "2009", "numChildren": 1 }, "data": { "key": "JJ2CDP8F", "version": 5, "itemType": "conferencePaper", "title": "Suelo: human-assisted sensing for exploratory soil monitoring studies", "creators": [ { "creatorType": "author", "firstName": "Nithya", "lastName": "Ramanathan" }, { "creatorType": "author", "firstName": "Thomas", "lastName": "Schoellhammer" }, { "creatorType": "author", "firstName": "Eddie", "lastName": "Kohler" }, { "creatorType": "author", "firstName": "Kamin", "lastName": "Whitehouse" }, { "creatorType": "author", "firstName": "Thomas", "lastName": "Harmon" }, { "creatorType": "author", "firstName": "Deborah", "lastName": "Estrin" } ], "abstractNote": "Soil contains vast ecosystems that play a key role in the Earth's water and nutrient cycles, but scientists cannot currently collect the high-resolution data required to fully understand them. In this paper, we present Suelo, an embedded networked sensing system designed for soil monitoring. An important challenge for Suelo is that many soil sensors are inherently fragile and often produce invalid or uncalibrated data. Therefore Suelo is an assisted sensing system: it actively requests the help of a human when necessary to validate, calibrate, repair, or replace sensors. This approach allows us to use available sensors without sacrificing data integrity, while minimizing the human resources required. We tested our system in multiple real soil monitoring deployments and demonstrate that, using human assistance, Suelo produced 91% fewer false negatives and false positives than common fault detection solutions on these datasets.", "proceedingsTitle": "Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems", "conferenceName": "", "publisher": "ACM", "place": "New York, NY, USA", "date": "2009", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "197–210", "series": "SenSys '09", "seriesNumber": "", "DOI": "10.1145/1644038.1644058", "ISBN": "978-1-60558-519-2", "citationKey": "", "url": "http://doi.acm.org/10.1145/1644038.1644058", "accessDate": "2013-02-19T03:48:05Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "Suelo", "language": "", "libraryCatalog": "ACM Digital Library", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "fault detection", "type": 1 }, { "tag": "fault diagnosis", "type": 1 }, { "tag": "not so related" }, { "tag": "soil monitoring", "type": 1 } ], "collections": [ "K45K8TJR" ], "relations": {}, "dateAdded": "2013-08-21T04:52:22Z", "dateModified": "2013-08-21T04:52:22Z" } }, { "key": "PXXMUR79", "version": 5, "library": { "type": "group", "id": 199727, "name": "partics PUJ", "links": { "alternate": { "href": "https://www.zotero.org/groups/partics_puj", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/199727/items/PXXMUR79", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/partics_puj/items/PXXMUR79", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1299362, "username": "johantorres", "name": "Johan Manuel Torres Bonilla", "links": { "alternate": { "href": "https://www.zotero.org/johantorres", "type": "text/html" } } }, "creatorSummary": "Reddy et al.", "parsedDate": "2007", "numChildren": 1 }, "data": { "key": "PXXMUR79", "version": 5, "itemType": "conferencePaper", "title": "A framework for data quality and feedback in participatory sensing", "creators": [ { "creatorType": "author", "firstName": "Sasank", "lastName": "Reddy" }, { "creatorType": "author", "firstName": "Jeff", "lastName": "Burke" }, { "creatorType": "author", "firstName": "Deborah", "lastName": "Estrin" }, { "creatorType": "author", "firstName": "Mark", "lastName": "Hansen" }, { "creatorType": "author", "firstName": "Mani", "lastName": "Srivastava" } ], "abstractNote": "The rapid adoption of mobile phones by society over the last decade and the increasing ability to capture, classifying, and transmit a wide variety of data (image, audio, and location) have enabled a new sensing paradigm - where humans carrying mobile phones can act as sensor systems. Human-in-the-loop sensor systems raise many new challenges in areas of sensor data quality assessment, mobility and sampling coordination, and user interaction procedures.", "proceedingsTitle": "Proceedings of the 5th international conference on Embedded networked sensor systems", "conferenceName": "", "publisher": "ACM", "place": "New York, NY, USA", "date": "2007", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "417–418", "series": "SenSys '07", "seriesNumber": "", "DOI": "10.1145/1322263.1322324", "ISBN": "978-1-59593-763-6", "citationKey": "", "url": "http://doi.acm.org/10.1145/1322263.1322324", "accessDate": "2013-02-19T03:48:05Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ACM Digital Library", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "data quality" }, { "tag": "framework" }, { "tag": "human sensor networks", "type": 1 }, { "tag": "mobile systems", "type": 1 }, { "tag": "model human behaviour" } ], "collections": [ "K45K8TJR" ], "relations": {}, "dateAdded": "2013-08-21T04:52:22Z", "dateModified": "2013-08-21T04:52:22Z" } }, { "key": "FXFDXAIK", "version": 5, "library": { "type": "group", "id": 199727, "name": "partics PUJ", "links": { "alternate": { "href": "https://www.zotero.org/groups/partics_puj", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/199727/items/FXFDXAIK", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/partics_puj/items/FXFDXAIK", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1299362, "username": "johantorres", "name": "Johan Manuel Torres Bonilla", "links": { "alternate": { "href": "https://www.zotero.org/johantorres", "type": "text/html" } } }, "creatorSummary": "Reddy et al.", "parsedDate": "2010-03", "numChildren": 1 }, "data": { "key": "FXFDXAIK", "version": 5, "itemType": "journalArticle", "title": "Using mobile phones to determine transportation modes", "creators": [ { "creatorType": "author", "firstName": "Sasank", "lastName": "Reddy" }, { "creatorType": "author", "firstName": "Min", "lastName": "Mun" }, { "creatorType": "author", "firstName": "Jeff", "lastName": "Burke" }, { "creatorType": "author", "firstName": "Deborah", "lastName": "Estrin" }, { "creatorType": "author", "firstName": "Mark", "lastName": "Hansen" }, { "creatorType": "author", "firstName": "Mani", "lastName": "Srivastava" } ], "abstractNote": "As mobile phones advance in functionality and capability, they are being used for more than just communication. Increasingly, these devices are being employed as instruments for introspection into habits and situations of individuals and communities. Many of the applications enabled by this new use of mobile phones rely on contextual information. The focus of this work is on one dimension of context, the transportation mode of an individual when outside. We create a convenient (no specific position and orientation setting) classification system that uses a mobile phone with a built-in GPS receiver and an accelerometer. The transportation modes identified include whether an individual is stationary, walking, running, biking, or in motorized transport. The overall classification system consists of a decision tree followed by a first-order discrete Hidden Markov Model and achieves an accuracy level of 93.6% when tested on a dataset obtained from sixteen individuals.", "publicationTitle": "ACM Trans. Sen. Netw.", "publisher": "", "place": "", "date": "March 2010", "volume": "6", "issue": "2", "section": "", "partNumber": "", "partTitle": "", "pages": "13:1–13:27", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1145/1689239.1689243", "citationKey": "", "url": "http://doi.acm.org/10.1145/1689239.1689243", "accessDate": "2013-02-19T03:48:05Z", "PMID": "", "PMCID": "", "ISSN": "1550-4859", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ACM Digital Library", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Activity classification", "type": 1 }, { "tag": "HMM" }, { "tag": "accelerometers" }, { "tag": "mobile phones", "type": 1 }, { "tag": "transportation mode inference", "type": 1 } ], "collections": [ "K45K8TJR" ], "relations": {}, "dateAdded": "2013-08-21T04:52:22Z", "dateModified": "2013-08-21T04:52:22Z" } } ]