Self-esteem recognition based on gait pattern using Kinect

doi:10.1016/j.gaitpost.2017.09.001

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	Self-esteem recognition based on gait pattern using Kinect
	Sun, Bingli 1; Zhang, Zhan 2; Liu, Xingyun 1; Hu, Bin 3; Zhu, Tingshao1
第一作者	Sun, Bingli
通讯作者邮箱	tszhu@psych.ac.cn
心理所单位排序	1
摘要	Background: Self-esteem is an important aspect of individual's mental health. When subjects are not able to complete self-report questionnaire, behavioral assessment will be a good supplement. In this paper, we propose to use gait data collected by Kinect as an indicator to recognize self-esteem.
关键词	Self-esteem Gait pattern Kinect Machine learning Behavioral assessment
	2017-10-01
DOI	10.1016/j.gaitpost.2017.09.001
发表期刊	GAIT & POSTURE
ISSN	0966-6362
卷号	58 期号:0 页码:428-432
收录类别	SCI ; SSCI
WOS关键词	MICROSOFT KINECT ; PERSONALITY ; DEPRESSION ; EXPRESSION ; ACCURACY ; CUES
WOS标题词	Science & Technology ; Life Sciences & Biomedicine
WOS研究方向	Neurosciences & Neurology ; Orthopedics ; Sport Sciences
WOS类目	Neurosciences ; Orthopedics ; Sport Sciences
WOS记录号	WOS:000415234200071
WOS分区	Q3
资助机构	National Basic Research Program of China(2014CB744600) ; Key Research Program of Chinese Academy of Sciences (CAS)(KJZD-EWL04) ; CAS Strategic Priority Research Program(XDA06030800)
引用统计	被引频次：27[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.psych.ac.cn/handle/311026/22013
专题	社会与工程心理学研究室
通讯作者	Zhu, Tingshao
作者单位	1.Chinese Acad Sci, Inst Psychol, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing, Peoples R China 3.Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou, Gansu, Peoples R China
第一作者单位	中国科学院心理研究所
通讯作者单位	中国科学院心理研究所
推荐引用方式 GB/T 7714	Sun, Bingli,Zhang, Zhan,Liu, Xingyun,et al. Self-esteem recognition based on gait pattern using Kinect[J]. GAIT & POSTURE,2017,58(0):428-432.
APA	Sun, Bingli,Zhang, Zhan,Liu, Xingyun,Hu, Bin,&Zhu, Tingshao.(2017).Self-esteem recognition based on gait pattern using Kinect.GAIT & POSTURE,58(0),428-432.
MLA	Sun, Bingli,et al."Self-esteem recognition based on gait pattern using Kinect".GAIT & POSTURE 58.0(2017):428-432.

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