{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T04:49:30Z","timestamp":1750826970321},"reference-count":11,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,7]]},"DOI":"10.1109\/icmlc.2014.7009650","type":"proceedings-article","created":{"date-parts":[[2015,1,19]],"date-time":"2015-01-19T21:41:10Z","timestamp":1421703670000},"page":"449-454","source":"Crossref","is-referenced-by-count":14,"title":["Activity Recognition with sensors on mobile devices"],"prefix":"10.1109","author":[{"given":"Wei-Chih","family":"Hung","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fan","family":"Shen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi-Leh","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maw-Kae","family":"Hor","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng-Yuan","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"3","doi-asserted-by":"publisher","DOI":"10.1145\/1964897.1964918"},{"journal-title":"Activity Recognition from User-annotated Acceleration Data","year":"2004","author":"bao","key":"2"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1109\/MPRV.2008.39"},{"journal-title":"Forecast Mobile Data Traffic and Revenue Worldwide 2010-2015","year":"2011","author":"ekholm","key":"1"},{"journal-title":"Fundamentals of speech recognition","year":"1993","author":"rabiner","key":"7"},{"journal-title":"Detection of Gait Parameters Bradykinesia and Falls in Patients with Parkinson's Disease by Using A Unique Triaxial Accelerometer","year":"2010","author":"rodriguez-molinero","key":"6"},{"journal-title":"Real Time Human Activity Recognition Using tri-Axia1 Accelerometers","year":"2008","author":"krishnan","key":"5"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35395-6_30"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1109\/BSN.2006.6"},{"key":"8","doi-asserted-by":"crossref","DOI":"10.1109\/IJCNN.2007.4371156","article-title":"A hardware-friendly support vector machine for embedded automotive applications","author":"anguita","year":"2007","journal-title":"International Joint conference on neural networks(IJCNN)"},{"key":"11","doi-asserted-by":"crossref","DOI":"10.1145\/1515747.1515757","article-title":"Smart-Buckle: Human activity recognition using a 3-axis accelerometer and a wearable camera","author":"cho","year":"2008","journal-title":"HealthNet"}],"event":{"name":"2014 International Conference on Machine Learning and Cybernetics (ICMLC)","start":{"date-parts":[[2014,7,13]]},"location":"Lanzhou, China","end":{"date-parts":[[2014,7,16]]}},"container-title":["2014 International Conference on Machine Learning and Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6991348\/7009643\/07009650.pdf?arnumber=7009650","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:24:30Z","timestamp":1690849470000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7009650"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,7]]},"references-count":11,"URL":"https:\/\/doi.org\/10.1109\/icmlc.2014.7009650","relation":{},"subject":[],"published":{"date-parts":[[2014,7]]}}}