Deep learning for sensor-based activity recognition: A survey

doi:10.1016/j.patrec.2018.02.010

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	Deep learning for sensor-based activity recognition: A survey
	Wang, Jindong 2,3; Hu, Lisha 2,3; Peng, Xiaohui 2,3; Hao, Shuji 1; Chen, Yiqiang 2,3
刊名	PATTERN RECOGNITION LETTERS
	2019-03-01
卷号	119 页码:3-11
关键词	Deep learning Activity recognition Pattern recognition Pervasive computing
ISSN号	0167-8655
DOI	10.1016/j.patrec.2018.02.010
英文摘要	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.
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
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000458876700002
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/3400]
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.ASTAR, Inst High Performance Comp, Singapore, Singapore 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Device, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Wang, Jindong,Hu, Lisha,Peng, Xiaohui,et al. Deep learning for sensor-based activity recognition: A survey[J]. PATTERN RECOGNITION LETTERS,2019,119:3-11.
APA	Wang, Jindong,Hu, Lisha,Peng, Xiaohui,Hao, Shuji,&Chen, Yiqiang.(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.