LSTM Networks for Mobile Human Activity Recognition

	LSTM Networks for Mobile Human Activity Recognition
	Chen, Yuwen; Zhong, Kunhua; Zhang, Ju; Sun, Qilong; Zhao, Xueliang
	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
内容类型	会议论文
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.