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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/10926

Title: Range-based algorithm for posture classification and fall-down detection in smart homecare system
Authors: Wongpatikaseree, Konlakorn
Lim, Azman Osman
Tan, Yasuo
Kanai, Hideaki
Keywords: Human posture classification
Fall-down detection
Range-based algorithm
Smart homecare system
Issue Date: 2012-10
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Magazine name: 2012 IEEE 1st Global Conference on Consumer Electronics (GCCE)
Start page: 243
End page: 247
DOI: 10.1109/GCCE.2012.6379591
Abstract: Human posture classification is one of the most challenging issues in smart homecare system. To achieve high classification accuracy, we propose a new algorithm, called range-based algorithm. In this paper, a range means the distance between body parts. The ranges between body parts are investigated to classify the human posture and to detect a possible fall-down accident. Furthermore, we also proposed an adaptive posture window scheme to recognize the human posture in real-time even though human change the posture in different speed. The results reveal that our proposed can classify the human posture and detect fall-down with high accuracy and reliability.
Rights: This is the author's version of the work. Copyright (C) 2012 IEEE. 2012 IEEE 1st Global Conference on Consumer Electronics (GCCE), 2012, 243-247. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
URI: http://hdl.handle.net/10119/10926
Material Type: author
Appears in Collections:b11-1. 会議発表論文・発表資料 (Conference Papers)

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