LSTM Networks for Mobile Human Activity Recognition
文献类型：会议论文
| 作者 | Chen, Yuwen ; Zhong, Kunhua; Zhang, Ju; Sun, Qilong; Zhao, Xueliang
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| 出版日期 | 2016 |
| 会议日期 | JAN 24-25, 2016 |
| 会议地点 | Bangkok, THAILAND |
| 通讯作者 | Chen, YW (reprint author), Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Beijing 100864, Peoples R China. |
| 英文摘要 | 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. |
| 会议录 | PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE: TECHNOLOGIES AND APPLICATIONS
 |
| 语种 | 英语 |
| ISSN号 | 1951-6851 |
| WOS记录号 | WOS:000384467300014 |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/383]  |
| 专题 | 高性能计算应用研究中心 |
| 作者单位 | (1) Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Beijing 100864, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Yuwen,Zhong, Kunhua,Zhang, Ju,et al. LSTM Networks for Mobile Human Activity Recognition[C]. 见:. Bangkok, THAILAND. JAN 24-25, 2016. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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