KMS Chongqing Institute of Green and Intelligent Technology, CAS
| LSTM Networks for Mobile Human Activity Recognition | |
Chen, Yuwen ; Zhong, Kunhua; Zhang, Ju; Sun, Qilong; Zhao, Xueliang
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| 2016 | |
| 摘要 | A lot of real-life mobile sensing applications are becoming available. These applications use mobile sensors embedded in smart phones to recognize human activities in order to get a better understanding of human behavior. In this paper, we propose a LSTM-based feature extraction approach to recognize human activities using tri-axial accelerometers data. The experimental results on the (WISDM) Lab public datasets indicate that our LSTM-based approach is practical and achieves 92.1% accuracy. |
| 语种 | 英语 |
| 会议(录)名称 | PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE: TECHNOLOGIES AND APPLICATIONS
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| 通讯作者 | Chen, YW (reprint author), Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Beijing 100864, Peoples R China. |
| 收录类别 | ISTP |
| 会议地点 | Bangkok, THAILAND |
| 会议日期 | JAN 24-25, 2016 |
