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": { "owl:sameAs": "http://zotero.org/groups/199727/items/9GN44IDI" }, "dateAdded": "2013-02-26T05:56:15Z", "dateModified": "2013-02-26T05:56:15Z" } }, { "key": "W5JZRNF8", "version": 2, "library": { "type": "group", "id": 151046, "name": "javeriana_participatory_sensing", "links": { "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/151046/items/W5JZRNF8", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing/items/W5JZRNF8", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/151046/items/28B4XQBX", "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": "W5JZRNF8", "version": 2, "parentItem": "28B4XQBX", "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": { "owl:sameAs": "http://zotero.org/groups/199727/items/2FWB9PU9" }, "dateAdded": "2013-02-26T05:56:15Z", "dateModified": "2013-02-26T05:56:15Z" } }, { "key": "9TKAX2XG", "version": 2, "library": { "type": "group", "id": 151046, "name": "javeriana_participatory_sensing", "links": { "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/151046/items/9TKAX2XG", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing/items/9TKAX2XG", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/151046/items/5DU5KWC8", "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": "9TKAX2XG", "version": 2, "parentItem": "5DU5KWC8", "itemType": "note", "note": "There is an important factor, on the process of data collection. When your smartphone has an participatory sensing app installed, the data capture could be affected by the user context (battery, overload of memory by having too much aplications running. etc,). The article \"describes and motivates the design choices underlying our tool and evaluates its overheads in terms of phone resources and data.\"
\n", "tags": [], "relations": { "owl:sameAs": "http://zotero.org/groups/199727/items/3JTKRVPZ" }, "dateAdded": "2013-02-26T05:56:15Z", "dateModified": "2013-02-26T05:56:15Z" } }, { "key": "6ZVTZSJV", "version": 2, "library": { "type": "group", "id": 151046, "name": "javeriana_participatory_sensing", "links": { "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/151046/items/6ZVTZSJV", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing/items/6ZVTZSJV", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/151046/items/ZU3M6IXR", "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": "6ZVTZSJV", "version": 2, "parentItem": "ZU3M6IXR", "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": { "owl:sameAs": "http://zotero.org/groups/199727/items/JBTNM9GJ" }, "dateAdded": "2013-02-26T05:56:15Z", "dateModified": "2013-02-26T05:56:15Z" } }, { "key": "GUFFFWZV", "version": 2, "library": { "type": "group", "id": 151046, "name": "javeriana_participatory_sensing", "links": { "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/151046/items/GUFFFWZV", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing/items/GUFFFWZV", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/151046/items/KTVUH3CF", "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": "GUFFFWZV", "version": 2, "parentItem": "KTVUH3CF", "itemType": "note", "note": "\"This work focuses on using mobile phones to determine the transportation mode of an individual when outside, whether the user is stationary, walking, running, biking or in motorized transport.\"
\n\"The system is convenient for a user by not having strict position and orientation requirements
while still achieving a high accuracy level of 93.6%, based on a dataset of one hundred and twenty hours of data from sixteen users. Furthermore, the classifier does not rely on external spatial indexes such as GIS data or historical usage patterns and works well even without user-specific training information.\"
he 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": { "owl:sameAs": "http://zotero.org/groups/199727/items/P6JNFH92" }, "dateAdded": "2013-02-26T05:56:15Z", "dateModified": "2013-02-26T05:56:15Z" } }, { "key": "5EBS35UG", "version": 2, "library": { "type": "group", "id": 151046, "name": "javeriana_participatory_sensing", "links": { "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/151046/items/5EBS35UG", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing/items/5EBS35UG", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/151046/items/RD25ITQF", "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": "5EBS35UG", "version": 2, "parentItem": "RD25ITQF", "itemType": "note", "note": "it talks about a system for monitoring the soil, assisted by human. ALso provides State-of-the-art in Soil Monitoring
", "tags": [], "relations": { "owl:sameAs": "http://zotero.org/groups/199727/items/VPBHJ3WE" }, "dateAdded": "2013-02-26T05:56:15Z", "dateModified": "2013-02-26T05:56:15Z" } }, { "key": "QS5KSTXG", "version": 2, "library": { "type": "group", "id": 151046, "name": "javeriana_participatory_sensing", "links": { "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/151046/items/QS5KSTXG", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing/items/QS5KSTXG", "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": "Jacob et al.", "parsedDate": "2011", "numChildren": 0 }, "data": { "key": "QS5KSTXG", "version": 2, "itemType": "conferencePaper", "title": "Guided by touch: tactile pedestrian navigation", "creators": [ { "creatorType": "author", "firstName": "Ricky", "lastName": "Jacob" }, { "creatorType": "author", "firstName": "Peter", "lastName": "Mooney" }, { "creatorType": "author", "firstName": "Adam C.", "lastName": "Winstanley" } ], "abstractNote": "Haptics is a feedback technology that takes advantage of the human sense of touch by applying forces, vibrations, and/or motions to a haptic-enabled user device such as a mobile phone. In this paper we describe four haptic feedback-based prototypes for pedestrian navigation. Haptics is used to convey location, orientation, and distance information to users using pedestrian navigation applications. We compare the functionalities of four applications of haptics in such applications. Initial user trials have elicited positive responses from the users who see benefit in being provided with a \"heads up\" approach to mobile navigation.", "proceedingsTitle": "Proceedings of the 1st international workshop on Mobile location-based service", "conferenceName": "", "publisher": "ACM", "place": "New York, NY, USA", "date": "2011", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "11–20", "series": "MLBS '11", "seriesNumber": "", "DOI": "10.1145/2025876.2025881", "ISBN": "978-1-4503-0928-8", "citationKey": "", "url": "http://doi.acm.org/10.1145/2025876.2025881", "accessDate": "2013-02-19T06:40:46Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "Guided by touch", "language": "", "libraryCatalog": "ACM Digital Library", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "haptic-feedback", "type": 1 }, { "tag": "interfaces", "type": 1 }, { "tag": "mobile devices", "type": 1 }, { "tag": "pedestrian navigation", "type": 1 }, { "tag": "sense of touch", "type": 1 } ], "collections": [ "W2RMBP4M" ], "relations": {}, "dateAdded": "2013-02-26T05:56:15Z", "dateModified": "2013-02-26T05:56:15Z" } }, { "key": "2GBKCXWG", "version": 2, "library": { "type": "group", "id": 151046, "name": "javeriana_participatory_sensing", "links": { "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/151046/items/2GBKCXWG", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing/items/2GBKCXWG", "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": "Dong et al.", "parsedDate": "2008", "numChildren": 0 }, "data": { "key": "2GBKCXWG", "version": 2, "itemType": "conferencePaper", "title": "Automatic Collection of Fuel Prices from a Network of Mobile Cameras", "creators": [ { "creatorType": "author", "firstName": "Y. F.", "lastName": "Dong" }, { "creatorType": "author", "firstName": "S.", "lastName": "Kanhere" }, { "creatorType": "author", "firstName": "C. T.", "lastName": "Chou" }, { "creatorType": "author", "firstName": "N.", "lastName": "Bulusu" } ], "abstractNote": "It is an undeniable fact that people want information. Unfortunately, even in today's highly automated society, a lot of the information we desire is still manually collected. An example is fuel prices where websites providing fuel price information either send their workers out to manually collect the prices or depend on volunteers manually relaying the information. This paper proposes a novel application of wireless sensor networks to automatically collect fuel prices from camera images of road-side price board (billboard) of service (or gas) stations. Our system exploits the ubiquity of mobile phones that have cameras as well as users contributing and sharing data. In our proposed system, cameras of contributing users will be automatically triggered when they get close to a service station. These images will then be processed by computer vision algorithms to extract the fuel prices. In this paper, we will describe the system architecture and present results from our computer vision algorithms. Based on 52 images, our system achieves a hit rate of 92.3% for correctly detecting the fuel price board from the image background and reads the prices correctly in 87.7% of them. To the best of our knowledge, this is the first instance of a sensor network being used for collecting consumer pricing information.", "proceedingsTitle": "Proceedings of the 4th IEEE international conference on Distributed Computing in Sensor Systems", "conferenceName": "", "publisher": "Springer-Verlag", "place": "Berlin, Heidelberg", "date": "2008", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "140–156", "series": "DCOSS '08", "seriesNumber": "", "DOI": "10.1007/978-3-540-69170-9_10", "ISBN": "978-3-540-69169-3", "citationKey": "", "url": "http://dx.doi.org/10.1007/978-3-540-69170-9_10", "accessDate": "2013-02-19T06:40:46Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ACM Digital Library", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Automatic data collection", "type": 1 }, { "tag": "Computer-vision-based sensing", "type": 1 }, { "tag": "Consumer pricing information gathering", "type": 1 }, { "tag": "Participatory sensor networks", "type": 1 }, { "tag": "Vehicular sensor networks", "type": 1 } ], "collections": [ "W2RMBP4M" ], "relations": {}, "dateAdded": "2013-02-26T05:56:15Z", "dateModified": "2013-02-26T05:56:15Z" } }, { "key": "U9EZ75PI", "version": 2, "library": { "type": "group", "id": 151046, "name": "javeriana_participatory_sensing", "links": { "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/151046/items/U9EZ75PI", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing/items/U9EZ75PI", "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": "Liu et al.", "parsedDate": "2012", "numChildren": 0 }, "data": { "key": "U9EZ75PI", "version": 2, "itemType": "conferencePaper", "title": "Software abstractions for trusted sensors", "creators": [ { "creatorType": "author", "firstName": "He", "lastName": "Liu" }, { "creatorType": "author", "firstName": "Stefan", "lastName": "Saroiu" }, { "creatorType": "author", "firstName": "Alec", "lastName": "Wolman" }, { "creatorType": "author", "firstName": "Himanshu", "lastName": "Raj" } ], "abstractNote": "With the proliferation of e-commerce, e-wallet, and e-health smartphone applications, the need for trusted mobile applications is greater than ever. Unlike their desktop counterparts, many mobile applications rely heavily on sensor inputs. As a result, trust often requires authenticity and integrity of sensor readings. For example, applications may need trusted readings from sensors such as a GPS, camera, or microphone. Recent research has started to recognize the need for \"trusted sensors\", yet providing the right programming abstractions and system support for building mobile trusted applications is an open problem. This paper proposes two software abstractions for offering trusted sensors to mobile applications. We present the design and implementation of these abstractions on both x86 and ARM platforms. We implement a trusted GPS sensor on both platforms, and we provide a privacy control for trusted location using differential privacy. Our evaluation shows that implementing these abstractions comes with moderate overhead on both x86 and ARM platforms. We find these software abstractions to be versatile and practical - using them we implement one novel enterprise mobile application.", "proceedingsTitle": "Proceedings of the 10th international conference on Mobile systems, applications, and services", "conferenceName": "", "publisher": "ACM", "place": "New York, NY, USA", "date": "2012", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "365–378", "series": "MobiSys '12", "seriesNumber": "", "DOI": "10.1145/2307636.2307670", "ISBN": "978-1-4503-1301-8", "citationKey": "", "url": "http://doi.acm.org/10.1145/2307636.2307670", "accessDate": "2013-02-19T06:40:46Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ACM Digital Library", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "arm trustzone", "type": 1 }, { "tag": "differential privacy", "type": 1 }, { "tag": "mobile computing", "type": 1 }, { "tag": "sensors", "type": 1 }, { "tag": "trusted platform module", "type": 1 } ], "collections": [ "W2RMBP4M" ], "relations": {}, "dateAdded": "2013-02-26T05:56:15Z", "dateModified": "2013-02-26T05:56:15Z" } }, { "key": "X5HN8K3A", "version": 2, "library": { "type": "group", "id": 151046, "name": "javeriana_participatory_sensing", "links": { "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/151046/items/X5HN8K3A", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing/items/X5HN8K3A", "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": "Kuznetsov et al.", "parsedDate": "2011", "numChildren": 0 }, "data": { "key": "X5HN8K3A", "version": 2, "itemType": "conferencePaper", "title": "Ceci n'est pas une pipe bombe: authoring urban landscapes with air quality sensors", "creators": [ { "creatorType": "author", "firstName": "Stacey", "lastName": "Kuznetsov" }, { "creatorType": "author", "firstName": "George", "lastName": "Davis" }, { "creatorType": "author", "firstName": "Jian", "lastName": "Cheung" }, { "creatorType": "author", "firstName": "Eric", "lastName": "Paulos" } ], "abstractNote": "Our work explores the convergence between participatory sensing, political activism and public expressions. Unlike prior research, which focuses on personal sensing, we present low-cost, networked air quality sensors, designed to be repositioned across public landscapes by communities of citizen stakeholders. Our GPS-enabled sensors report dust, exhaust, or VOC's (volatile organic compounds), along with temperature, humidity and light levels to a website that visualizes this data in real time. The sensors can be attached to a variety of surfaces serving as research probes to demarcate ('tag') public spaces with environmental concerns. We deploy our fully functional system with four urban communities - parents, bicyclists, homeless and activists, positioning our system as a tool for studying and supporting community togetherness and public activism. Our findings highlight community sharing of the physical sensors and dialogues surrounding the collected data.", "proceedingsTitle": "Proceedings of the SIGCHI Conference on Human Factors in Computing Systems", "conferenceName": "", "publisher": "ACM", "place": "New York, NY, USA", "date": "2011", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "2375–2384", "series": "CHI '11", "seriesNumber": "", "DOI": "10.1145/1978942.1979290", "ISBN": "978-1-4503-0228-9", "citationKey": "", "url": "http://doi.acm.org/10.1145/1978942.1979290", "accessDate": "2013-02-19T06:40:46Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "Ceci n'est pas une pipe bombe", "language": "", "libraryCatalog": "ACM Digital Library", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "participatory sensing", "type": 1 }, { "tag": "political computing", "type": 1 }, { "tag": "urban computing", "type": 1 } ], "collections": [ "W2RMBP4M" ], "relations": {}, "dateAdded": "2013-02-26T05:56:15Z", "dateModified": "2013-02-26T05:56:15Z" } }, { "key": "P7GUDI4S", "version": 2, "library": { "type": "group", "id": 151046, "name": "javeriana_participatory_sensing", "links": { "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/151046/items/P7GUDI4S", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing/items/P7GUDI4S", "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": "Do and Gatica-Perez", "parsedDate": "2010", "numChildren": 0 }, "data": { "key": "P7GUDI4S", "version": 2, "itemType": "conferencePaper", "title": "By their apps you shall understand them: mining large-scale patterns of mobile phone usage", "creators": [ { "creatorType": "author", "firstName": "Trinh-Minh-Tri", "lastName": "Do" }, { "creatorType": "author", "firstName": "Daniel", "lastName": "Gatica-Perez" } ], "abstractNote": "Mobile phones are becoming more and more widely used nowadays, and people do not use the phone only for communication: there is a wide variety of phone applications allowing users to select those that fit their needs. Aggregated over time, application usage patterns exhibit not only what people are consistently interested in but also the way in which they use their phones, and can help improving phone design and personalized services. This work aims at mining automatically usage patterns from apps data recorded continuously with smartphones. A new probabilistic framework for mining usage patterns is proposed. Our methodology involves the design of a bag-of-apps model that robustly represents level of phone usage over specific times of the day, and the use of a probabilistic topic model that jointly discovers patterns of usage over multiple applications and describes users as mixtures of such patterns. Our framework is evaluated using 230 000+ hours of real-life app phone log data, demonstrates that relevant patterns of usage can be extracted, and is objectively validated on a user retrieval task with competitive performance.", "proceedingsTitle": "Proceedings of the 9th International Conference on Mobile and Ubiquitous Multimedia", "conferenceName": "", "publisher": "ACM", "place": "New York, NY, USA", "date": "2010", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "27:1–27:10", "series": "MUM '10", "seriesNumber": "", "DOI": "10.1145/1899475.1899502", "ISBN": "978-1-4503-0424-5", "citationKey": "", "url": "http://doi.acm.org/10.1145/1899475.1899502", "accessDate": "2013-02-19T06:40:46Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "By their apps you shall understand them", "language": "", "libraryCatalog": "ACM Digital Library", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "W2RMBP4M" ], "relations": {}, "dateAdded": "2013-02-26T05:56:15Z", "dateModified": "2013-02-26T05:56:15Z" } }, { "key": "QZ47B9W9", "version": 2, "library": { "type": "group", "id": 151046, "name": "javeriana_participatory_sensing", "links": { "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/151046/items/QZ47B9W9", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing/items/QZ47B9W9", "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": "Kanjo", "parsedDate": "2010-08", "numChildren": 0 }, "data": { "key": "QZ47B9W9", "version": 2, "itemType": "journalArticle", "title": "NoiseSPY: A Real-Time Mobile Phone Platform for Urban Noise Monitoring and Mapping", "creators": [ { "creatorType": "author", "firstName": "Eiman", "lastName": "Kanjo" } ], "abstractNote": "In this paper we present the design, implementation, evaluation, and user experiences of the NoiseSpy application, our sound sensing system that turns the mobile phone into a low-cost data logger for monitoring environmental noise. It allows users to explore a city area while collaboratively visualizing noise levels in real-time. The software combines the sound levels with GPS data in order to generate a map of sound levels that were encountered during a journey. We report early findings from the trials which have been carried out by cycling couriers who were given Nokia mobile phones equipped with the NoiseSpy software to collect noise data around Cambridge city. Indications are that, not only is the functionality of this personal environmental sensing tool engaging for users, but aspects such as personalization of data, contextual information, and reflection upon both the data and its collection, are important factors in obtaining and retaining their interest.", "publicationTitle": "Mob. Netw. Appl.", "publisher": "", "place": "", "date": "August 2010", "volume": "15", "issue": "4", "section": "", "partNumber": "", "partTitle": "", "pages": "562–574", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1007/s11036-009-0217-y", "citationKey": "", "url": "http://dx.doi.org/10.1007/s11036-009-0217-y", "accessDate": "2013-02-19T06:40:46Z", "PMID": "", "PMCID": "", "ISSN": "1383-469X", "archive": "", "archiveLocation": "", "shortTitle": "NoiseSPY", "language": "", "libraryCatalog": "ACM Digital Library", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Noise Mapping", "type": 1 }, { "tag": "mobile computing", "type": 1 }, { "tag": "online mapping", "type": 1 }, { "tag": "pervasive sensing", "type": 1 }, { "tag": "pollution monitoring", "type": 1 }, { "tag": "ubiquitous computing.", "type": 1 } ], "collections": [ "W2RMBP4M" ], "relations": {}, "dateAdded": "2013-02-26T05:56:15Z", "dateModified": "2013-02-26T05:56:15Z" } }, { "key": "UVZW6EBJ", "version": 2, "library": { "type": "group", "id": 151046, "name": "javeriana_participatory_sensing", "links": { "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/151046/items/UVZW6EBJ", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing/items/UVZW6EBJ", "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": "Hong et al.", "parsedDate": "2011", "numChildren": 0 }, "data": { "key": "UVZW6EBJ", "version": 2, "itemType": "conferencePaper", "title": "ODK tables: data organization and information services on a smartphone", "creators": [ { "creatorType": "author", "firstName": "YoonSung", "lastName": "Hong" }, { "creatorType": "author", "firstName": "Hilary K.", "lastName": "Worden" }, { "creatorType": "author", "firstName": "Gaetano", "lastName": "Borriello" } ], "abstractNote": "Many information services require the transfer of only small amounts of information between a client and server. Furthermore, their deployment often requires an ecosystem of cloud services rarely present in developing world contexts. ODK Tables (a component of the Open Data Kit) provides a way of organizing data into database tables hosted directly by a smartphone. Clients can make new entries into the tables (under an extensible access control model) and make queries of existing information. ODK Tables supports SMS-based interactions and allows import/export of tables to other storage whether in the cloud or on another local computing device. The objective of ODK Tables is to lower barriers experienced by entrepreneurs or other information providers in the developing world to field their own information services. This paper describes ODK Tables' capabilities, user interface, performance characteristics, and some example use cases.", "proceedingsTitle": "Proceedings of the 5th ACM workshop on Networked systems for developing regions", "conferenceName": "", "publisher": "ACM", "place": "New York, NY, USA", "date": "2011", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "33–38", "series": "NSDR '11", "seriesNumber": "", "DOI": "10.1145/1999927.1999937", "ISBN": "978-1-4503-0739-0", "citationKey": "", "url": "http://doi.acm.org/10.1145/1999927.1999937", "accessDate": "2013-02-19T06:40:46Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "ODK tables", "language": "", "libraryCatalog": "ACM Digital Library", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "data tables", "type": 1 }, { "tag": "mobile databases", "type": 1 }, { "tag": "mobile phones", "type": 1 }, { "tag": "sms", "type": 1 }, { "tag": "spreadsheets", "type": 1 } ], "collections": [ "W2RMBP4M" ], "relations": {}, "dateAdded": "2013-02-26T05:56:15Z", "dateModified": "2013-02-26T05:56:15Z" } }, { "key": "AA2I729C", "version": 2, "library": { "type": "group", "id": 151046, "name": "javeriana_participatory_sensing", "links": { "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/151046/items/AA2I729C", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/javeriana_participatory_sensing/items/AA2I729C", "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": "Rahman et al.", "parsedDate": "2011", "numChildren": 0 }, "data": { "key": "AA2I729C", "version": 2, "itemType": "conferencePaper", "title": "mConverse: inferring conversation episodes from respiratory measurements collected in the field", "creators": [ { "creatorType": "author", "firstName": "Md. Mahbubur", "lastName": "Rahman" }, { "creatorType": "author", "firstName": "Amin Ahsan", "lastName": "Ali" }, { "creatorType": "author", "firstName": "Kurt", "lastName": "Plarre" }, { "creatorType": "author", "firstName": "Mustafa", "lastName": "al'Absi" }, { "creatorType": "author", "firstName": "Emre", "lastName": "Ertin" }, { "creatorType": "author", "firstName": "Santosh", "lastName": "Kumar" } ], "abstractNote": "Automated detection of social interactions in the natural environment has resulted in promising advances in organizational behavior, consumer behavior, and behavioral health. Progress, however, has been limited since the primary means of assessing social interactions today (i.e., audio recording) has several issues in field usage such as microphone occlusion, lack of speaker specificity, and high energy drain, in addition to significant privacy concerns. In this paper, we present mConverse, a new mobile-based system to infer conversation episodes from respiration measurements collected in the field from an unobtrusively wearable respiratory inductive plethysmograph (RIP) band worn around the user's chest. The measurements are wire-lessly transmitted to a mobile phone, where they are used in a novel machine learning model to determine whether the wearer is speaking, listening, or quiet. Our model incorporates several innovations to address issues that naturally arise in the noisy field environment such as confounding events, poor data quality due to sensor loosening and detachment, losses in the wireless channel, etc. Our basic model obtains 83% accuracy for the three class classification. We formulate a Hidden Markov Model to further improve the accuracy to 87%. Finally, we apply our model to data collected from 22 subjects who wore the sensor for 2 full days in the field to observe conversation behavior in daily life and find that people spend 25% of their day in conversations.", "proceedingsTitle": "Proceedings of the 2nd Conference on Wireless Health", "conferenceName": "", "publisher": "ACM", "place": "New York, NY, USA", "date": "2011", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "10:1–10:10", "series": "WH '11", "seriesNumber": "", "DOI": "10.1145/2077546.2077557", "ISBN": "978-1-4503-0982-0", "citationKey": "", "url": "http://doi.acm.org/10.1145/2077546.2077557", "accessDate": "2013-02-19T06:40:46Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "mConverse", "language": "", "libraryCatalog": "ACM Digital Library", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "conversation", "type": 1 }, { "tag": "respiration", "type": 1 }, { "tag": "wearable sensors", "type": 1 } ], "collections": [ "W2RMBP4M" ], "relations": {}, "dateAdded": "2013-02-26T05:56:15Z", "dateModified": "2013-02-26T05:56:15Z" } } ]