Deep learning for sensor-based activity recognition: A survey

doi:10.1016/j.patrec.2018.02.010

	Deep learning for sensor-based activity recognition: A survey
	Wang, Jindong 1,2; Chen, Yiqiang 1,2; Hao, Shuji 3; Peng, Xiaohui 1,2; Hu, Lisha 1,2
	2019-03-01
发表期刊	PATTERN RECOGNITION LETTERS
ISSN	0167-8655
卷号	119 页码:3-11
摘要	Sensor-based activity recognition seeks the profound high-level knowledge about human activities from multitudes of low-level sensor readings. Conventional pattern recognition approaches have made tremendous progress in the past years. However, those methods often heavily rely on heuristic hand-crafted feature extraction, which could hinder their generalization performance. Additionally, existing methods are undermined for unsupervised and incremental learning tasks. Recently, the recent advancement of deep learning makes it possible to perform automatic high-level feature extraction thus achieves promising performance in many areas. Since then, deep learning based methods have been widely adopted for the sensor-based activity recognition tasks. This paper surveys the recent advance of deep learning based sensor-based activity recognition. We summarize existing literature from three aspects: sensor modality, deep model, and application. We also present detailed insights on existing work and propose grand challenges for future research. (C) 2018 Elsevier B.V. All rights reserved.
关键词	Deep learning Activity recognition Pattern recognition Pervasive computing
DOI	10.1016/j.patrec.2018.02.010
收录类别	SCI
语种	英语
资助项目	National Key Research & Development Program of China[2017YFB1002801] ; NSFC[61572471] ; Science and Technology Planning Project of Guangdong Province[2015B010105001]
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000458876700002
出版者	ELSEVIER SCIENCE BV
引用统计	被引频次：950[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/3401
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Chen, Yiqiang
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Device, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.ASTAR, Inst High Performance Comp, Singapore, Singapore
推荐引用方式 GB/T 7714	Wang, Jindong,Chen, Yiqiang,Hao, Shuji,et al. Deep learning for sensor-based activity recognition: A survey[J]. PATTERN RECOGNITION LETTERS,2019,119:3-11.
APA	Wang, Jindong,Chen, Yiqiang,Hao, Shuji,Peng, Xiaohui,&Hu, Lisha.(2019).Deep learning for sensor-based activity recognition: A survey.PATTERN RECOGNITION LETTERS,119,3-11.
MLA	Wang, Jindong,et al."Deep learning for sensor-based activity recognition: A survey".PATTERN RECOGNITION LETTERS 119(2019):3-11.