{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,12,30]],"date-time":"2024-12-30T18:25:32Z","timestamp":1735583132590},"reference-count":18,"publisher":"SAGE Publications","issue":"7","license":[{"start":{"date-parts":[[2013,7,1]],"date-time":"2013-07-01T00:00:00Z","timestamp":1372636800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Distributed Sensor Networks"],"published-print":{"date-parts":[[2013,7,1]]},"abstract":"<jats:p> Nowadays mobile activity recognition (AR) has been creating great potentials in many applications including mobile healthcare and context-aware systems. Human activities could be detected based on sensory data that are available on today's smart phone. In this study, we consider mobile phones as an independent device since sending the data to central server can generate privacy issues. Furthermore, applying AR on mobile phone does not only require an effective accuracy rate but also the lowest power consumption. Normally, an AR model learnt from acceleration data of a specific person is distributed to other people to recognize the same activities instead of generating different models individually. This work often cannot create accurate results on the prediction in broad range of participants. Moreover, such AR model also has to allow each user to update his new activities independently. Therefore, we propose an algorithm that integrates Support Vector Machine classifier and K-medoids clustering method to resolve completely the demand. <\/jats:p>","DOI":"10.1155\/2013\/315841","type":"journal-article","created":{"date-parts":[[2013,7,17]],"date-time":"2013-07-17T21:00:55Z","timestamp":1374094855000},"page":"315841","update-policy":"http:\/\/dx.doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":23,"title":["Personalization in Mobile Activity Recognition System Using <i>K<\/i>-Medoids Clustering Algorithm"],"prefix":"10.1177","volume":"9","author":[{"given":"Quang Viet","family":"Vo","sequence":"first","affiliation":[{"name":"ECE, Chonnam National University, Gwangju 500-757, Republic of Korea"}]},{"given":"Minh Thang","family":"Hoang","sequence":"additional","affiliation":[{"name":"ECE, Chonnam National University, Gwangju 500-757, Republic of Korea"}]},{"given":"Deokjai","family":"Choi","sequence":"additional","affiliation":[{"name":"ECE, Chonnam National University, Gwangju 500-757, Republic of Korea"}]}],"member":"179","published-online":{"date-parts":[[2013,7,17]]},"reference":[{"key":"B1-2013-315841","doi-asserted-by":"publisher","DOI":"10.4018\/jdst.2013010106"},{"key":"B2-2013-315841","doi-asserted-by":"publisher","DOI":"10.1109\/IIHMSP.2010.83"},{"key":"B21-2013-315841","volume":"47","author":"Sharma D.","year":"2012","journal-title":"International Journal of Advanced Science and Technology"},{"key":"B4-2013-315841","volume-title":"Proceedings of International Symposium on Quality of Life Technology","author":"Khan M."},{"key":"B6-2013-315841","first-page":"712","volume-title":"Proceeding of 18th IEEE International Conference on Parallel and Distributed System","author":"Viet V. Q."},{"key":"B7-2013-315841","volume-title":"Proceeding of 12th IEEE International Symposium on Signal Processing and Information Technology","author":"Viet V. Q."},{"issue":"1","key":"B8-2013-315841","first-page":"100","volume":"28","author":"Hartigan J. A.","year":"1979","journal-title":"Journal of the Royal Statistical Society C"},{"key":"B9-2013-315841","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.01.039"},{"key":"B10-2013-315841","first-page":"74","volume-title":"Proceeding of ACM SIGKDD Conference of Knowledge Discovery and Data Mining","author":"Kwapisz J."},{"key":"B12-2013-315841","volume-title":"Proceedings of the IEEE International Conference on Mobile Data Management","author":"Gomes J. B."},{"key":"B13-2013-315841","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"B14-2013-315841","first-page":"2545","volume-title":"Proceedings of 22nd International Joint Conference on Artifica Intelligence","author":"Zhao Z."},{"key":"B15-2013-315841","doi-asserted-by":"publisher","DOI":"10.1109\/ICSMC.2010.5641790"},{"key":"B16-2013-315841","doi-asserted-by":"publisher","DOI":"10.1145\/1753846.1754146"},{"key":"B17-2013-315841","doi-asserted-by":"publisher","DOI":"10.1016\/0013-4694(70)90143-4"},{"key":"B18-2013-315841","first-page":"1241","volume-title":"Proceeding of 15th European Signal Processing Conference (EUSIPCO '07)","author":"Ansari-Asl K."},{"key":"B19-2013-315841","volume-title":"Gait Analysis an Introduction","author":"Whittle M. W.","year":"2007","edition":"4"},{"key":"B20-2013-315841","doi-asserted-by":"publisher","DOI":"10.3923\/itj.2011.478.484"}],"container-title":["International Journal of Distributed Sensor Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/ijdsn\/2013\/315841.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/full-xml\/10.1155\/2013\/315841","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/full\/10.1155\/2013\/315841","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,16]],"date-time":"2021-05-16T22:24:54Z","timestamp":1621203894000},"score":1,"resource":{"primary":{"URL":"http:\/\/journals.sagepub.com\/doi\/10.1155\/2013\/315841"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,7,1]]},"references-count":18,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2013,7,1]]}},"alternative-id":["10.1155\/2013\/315841"],"URL":"https:\/\/doi.org\/10.1155\/2013\/315841","relation":{},"ISSN":["1550-1477","1550-1477"],"issn-type":[{"value":"1550-1477","type":"print"},{"value":"1550-1477","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,7,1]]}}}