關鍵字查詢 | 類別:會議論文 | | 關鍵字:Posture Recognition with G-Sensors on Smart Phones

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序號 學年期 教師動態
1 101/1 資工系 許輝煌 教授 會議論文 發佈 Posture Recognition with G-Sensors on Smart Phones , [101-1] :Posture Recognition with G-Sensors on Smart Phones會議論文Posture Recognition with G-Sensors on Smart PhonesHsu, Hui-huang; Tsai, Kang-chun; Cheng, Zixue; Huang, Tong-jun淡江大學資訊工程學系Proceedings of the 15th International Conference on Network-Based Information Systems, pp.588-591With 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 calor
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