Two-Phase Activity Recognition Using Smartphone Sensors
學年 104
學期 1
發表日期 2015-09-02
作品名稱 Two-Phase Activity Recognition Using Smartphone Sensors
作品名稱（其他語言）
著者 Ui-Huang Hsu; Chin-Ting Chu; Yinghui Zhou; Zixue Cheng
作品所屬單位
出版者
會議名稱 18th International Conference on Network-Based Information Systems (NBiS-2015)
會議地點 Taipei, Taiwan
摘要 The smartphone has become very popular and it is very useful in our daily life. A smartphone is equipped with a variety of sensors, which makes it very suitable in replacing other types of wearable sensors for activity recognition of the user. Many researches have been carried out with this subject. However, most of them have to confine the smartphone to a certain position or even orientation. For example, the smartphone might need to be placed in the front pocket of pants to make the right recognition. In this research, we hope to relieve this limitation and to develop a smartphone APP for activity recognition. Activity recognition can be done in two phases. In the first phase, gyroscope data are used to decide the position of the smartphone by the Support Vector Machine (SVM). It could be of three categories: (1) front pockets of pants, (2) back pockets of pants, and (3) shirt pockets or bags. Different classifiers are used for smartphone with different position categories. SVMs are trained for different position categories using accelerometer data. Each of them can recognize activities of walk, run, up-stairs and down-stairs. The developed APP can recognize activities of the smartphone user in real time and accumulate the times for different activities. The user can check the results through the APP at any time.
關鍵字 accelerometers;mobile computing;sensors;smart phones;support vector machines
語言 en_US
收錄於
會議性質 國際
校內研討會地點 無
研討會時間 20150902~20150904
通訊作者
國別 TWN
公開徵稿
出版型式
出處 18th International Conference on Network-Based Information Systems (NBiS-2015), pp.611-615
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/106407 )