Posture Recognition with G-Sensors on Smart Phones
學年 101
學期 1
發表日期 2012-09-26
作品名稱 Posture Recognition with G-Sensors on Smart Phones
作品名稱（其他語言）
著者 Hsu, Hui-huang; Tsai, Kang-chun; Cheng, Zixue; Huang, Tong-jun
作品所屬單位 淡江大學資訊工程學系
出版者
會議名稱 The 15th International Conference on Network-Based Information Systems (NBiS- 2012)
會議地點 Melbourne, Australia
摘要 With the popularity of smart phones in recent years, various sensors on smart phones can be utilized to detect the movement or intention of the smart phone users. In this research, we aim at using the signals collected from the G-sensor in the smart phone to recognize the posture of the user. Signals for sit, stand, walk and run are collected to train an offline neural network as the classifier. After the neural network learns the four postures, we then implement a neural network with the learned connection weights in a smart phone app. The app can record the postures of the user for the whole day and estimate the burned calories accordingly. This app can replace the pedometer to have a more accurate estimate of calorie consumption. Details of the app are presented in this paper. The accuracy of neural networks on posture recognition with G-sensor signals is also verified by five-fold cross-validation.
關鍵字
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20120926~20120928
通訊作者
國別 AUS
公開徵稿 Y
出版型式 電子版
出處 Proceedings of the 15th International Conference on Network-Based Information Systems, pp.588-591
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