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Wearable Heading Estimation for Motion Tracking in Health Care by Adaptive Fusion of Visual-Inertial Measurementsments
Zhang YL(张吟龙)1,2; Liang W(梁炜)1; He, Hongsheng3; Tan JD(谈金东)4
Department工业控制网络与系统研究室
Source PublicationIEEE Journal of Biomedical and Health Informatics
ISSN2168-2194
2018
Volume22Issue:6Pages:1732-1743
Indexed BySCI ; EI
EI Accession number20180504681511
WOS IDWOS:000447833100004
Contribution Rank1
Funding OrganizationNational Science Foundation of China ; Youth Innovation Promotion Association, CAS
KeywordHealth Informatics Ubiquitous Sensing Human Motion Tracking Wearable Heading Estimation Inertial Sensing Monocular Camera Capturing Multi-sensor Fusion
Abstract

The increasing demand for health informatics has become a far-reaching trend in the ageing society. The utilization of wearable sensors enables monitoring senior people daily activities in free-living environments, conveniently and effectively. Among the primary health-care sensing categories, the wearable visual-inertial modality for human motion tracking gradually exerts promising potentials. In this paper, we present a novel wearable heading estimation strategy to track the movements of human limbs. It adaptively fuses inertial measurements with visual features following locality constraints. Body movements are classified into two types: general motion (which consists of both rotation and translation). or degenerate motion (which consists of only rotation). A specific number of feature correspondences between camera frames are adaptively chosen to satisfy both the feature descriptor similarity constraint and the locality constraint. The selected feature correspondences and inertial quaternions are employed to calculate the initial pose, followed by the coarse-to-fine procedure to iteratively remove visual outliers. Eventually, the ultimate heading is optimized using the correct feature matches. The proposed method has been thoroughly evaluated on the straight-line, rotatory and ambulatory movement scenarios. As the system is lightweight and requires small computational resources, it enables effective and unobtrusive human motion monitoring, especially for the senior citizens in the long-term rehabilitation.

Language英语
WOS SubjectComputer Science, Information Systems ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology ; Medical Informatics
WOS KeywordNAVIGATION ; SENSORS ; SYSTEMS
WOS Research AreaComputer Science ; Mathematical & Computational Biology ; Medical Informatics
Funding ProjectNational Science Foundation of China[61233007] ; National Science Foundation of China[61673371] ; National Science Foundation of China[61305114] ; National Science Foundation of China[71661147005] ; Youth Innovation Promotion Association, CAS[2015157]
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Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/22422
Collection工业控制网络与系统研究室
Corresponding AuthorLiang W(梁炜); Tan JD(谈金东)
Affiliation1.Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
3.Department of Electrical Engineering and Computer Science, Wichita State University College of Engineering, 307284 Wichita, Kansas United States
4.Mechanical, Aerospace and Biomedical, The University of Tennessee, Knoxville, Knoxville, Tennessee United States 379962210
Recommended Citation
GB/T 7714
Zhang YL,Liang W,He, Hongsheng,et al. Wearable Heading Estimation for Motion Tracking in Health Care by Adaptive Fusion of Visual-Inertial Measurementsments[J]. IEEE Journal of Biomedical and Health Informatics,2018,22(6):1732-1743.
APA Zhang YL,Liang W,He, Hongsheng,&Tan JD.(2018).Wearable Heading Estimation for Motion Tracking in Health Care by Adaptive Fusion of Visual-Inertial Measurementsments.IEEE Journal of Biomedical and Health Informatics,22(6),1732-1743.
MLA Zhang YL,et al."Wearable Heading Estimation for Motion Tracking in Health Care by Adaptive Fusion of Visual-Inertial Measurementsments".IEEE Journal of Biomedical and Health Informatics 22.6(2018):1732-1743.
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