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In this paper, the authors study forward fall detection method from mobile phone perspective using accelerometer only without sacrificing accuracy to save energy. Using peak threshold algorithm in axes of mobile accelerometer, transition from activity of daily living (ADL) to forward fall event is recognized. In collected templates, Dynamic Time Warping (DTW) was applied to compute difference among them with new unlabeled samples. Results implemented on mobile phone easily show the feasibility of the method hence contribute significantly to fall detection in healthcare.<\/p>","DOI":"10.4018\/jdst.2013010106","type":"journal-article","created":{"date-parts":[[2013,5,6]],"date-time":"2013-05-06T19:36:32Z","timestamp":1367868992000},"page":"78-94","source":"Crossref","is-referenced-by-count":4,"title":["Energy Saving in Forward Fall Detection using Mobile Accelerometer"],"prefix":"10.4018","volume":"4","author":[{"given":"Vo Quang","family":"Viet","sequence":"first","affiliation":[{"name":"Electronic & Computer Engineering Department, Chonnam National University, Gwangju, Korea"}]},{"given":"Ali Fahmi Perwira","family":"Negera","sequence":"additional","affiliation":[{"name":"Electronic & Computer Engineering Department, Chonnam National University, Gwangju, Korea"}]},{"given":"Hoang Minh","family":"Thang","sequence":"additional","affiliation":[{"name":"Electronic & Computer Engineering Department, Chonnam National University, Gwangju, Korea"}]},{"given":"Deokjai","family":"Choi","sequence":"additional","affiliation":[{"name":"Electronic & Computer Engineering DepartmentChonnam National University, Gwangju, Korea"}]}],"member":"2432","reference":[{"key":"jdst.2013010106-0","year":"2008"},{"key":"jdst.2013010106-1","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-61692-857-5.ch020"},{"key":"jdst.2013010106-2","doi-asserted-by":"crossref","unstructured":"Bussman, J. 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