{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:35:35Z","timestamp":1740148535694,"version":"3.37.3"},"reference-count":15,"publisher":"Wiley","license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Sensors"],"published-print":{"date-parts":[[2016]]},"abstract":"<jats:p>The mobile phone is no longer only a communication device, but also a powerful environmental sensing unit that can monitor a user\u2019s ambient context. Mobile users take their devices with them everywhere which increases the availability of persons\u2019 traces. Extracting and analyzing knowledge from these traces represent a strong support for several applications domains, ranging from traffic management to advertisement and social studies. However, the limited battery capacity of mobile devices represents a big hurdle for context detection, no matter how useful the service may be. We present a novel approach to online recognizing users\u2019 outdoor activities without depleting the mobile resources. We associate the places visited by individuals during their movements with meaningful human activities using a novel algorithm that clusters incrementally user\u2019s moves into different types of activities. To optimize the battery consumption, the algorithm behaves variably on the basis of users\u2019 behaviors and the remaining battery level. Studies using real GPS records from two big datasets demonstrate that the proposal is effective and is capable of inferring human activities without draining the phone resources.<\/jats:p>","DOI":"10.1155\/2016\/6156914","type":"journal-article","created":{"date-parts":[[2016,5,5]],"date-time":"2016-05-05T17:01:53Z","timestamp":1462467713000},"page":"1-15","source":"Crossref","is-referenced-by-count":5,"title":["Energy Optimization for Outdoor Activity Recognition"],"prefix":"10.1155","volume":"2016","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6295-2523","authenticated-orcid":true,"given":"Mehdi","family":"Boukhechba","sequence":"first","affiliation":[{"name":"LIARA Laboratory, University of Quebec at Chicoutimi, Chicoutimi, QC, Canada G7H 2B1"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abdenour","family":"Bouzouane","sequence":"additional","affiliation":[{"name":"LIARA Laboratory, University of Quebec at Chicoutimi, Chicoutimi, QC, Canada G7H 2B1"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bruno","family":"Bouchard","sequence":"additional","affiliation":[{"name":"LIARA Laboratory, University of Quebec at Chicoutimi, Chicoutimi, QC, Canada G7H 2B1"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Charles","family":"Gouin-Vallerand","sequence":"additional","affiliation":[{"name":"LICEF Research Center, Tele-Universite of Quebec, Quebec, QC, Canada G1K 9H6"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sylvain","family":"Giroux","sequence":"additional","affiliation":[{"name":"DOMUS Laboratory, University of Sherbrooke, Sherbrooke, QC, Canada J1K 2R1"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"year":"2016","key":"18"},{"key":"28","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2014.2345405"},{"key":"29","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2012.153"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1145\/2743025"},{"key":"26","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2010.5560598"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1007\/11833529_64"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1145\/957717.957768"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1145\/502059.502044"},{"key":"40","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1002\/j.1538-7305.1948.tb01338.x","volume":"27","year":"1948","journal-title":"The Bell System Technical Journal"},{"key":"38","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-5217-8"},{"year":"1947","key":"19"},{"key":"31","doi-asserted-by":"publisher","DOI":"10.1002\/9780470549094"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1109\/mprv.2011.13"},{"year":"2016","key":"1"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-3734-6_9"}],"container-title":["Journal of Sensors"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2016\/6156914.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2016\/6156914.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2016\/6156914.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,24]],"date-time":"2017-06-24T08:50:32Z","timestamp":1498294232000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/js\/2016\/6156914\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":15,"alternative-id":["6156914","6156914"],"URL":"https:\/\/doi.org\/10.1155\/2016\/6156914","relation":{},"ISSN":["1687-725X","1687-7268"],"issn-type":[{"type":"print","value":"1687-725X"},{"type":"electronic","value":"1687-7268"}],"subject":[],"published":{"date-parts":[[2016]]}}}