A Survey on IMU-and-Vision-based Human Pose Estimation for Rehabilitation

被引:0
|
作者
Niu, Yuan [1 ,2 ]
She, Jinhua [3 ]
Xu, Chi [1 ,2 ,4 ]
机构
[1] China Univ Geosci, Sch Automat, Wuhan 430074, Peoples R China
[2] Hubei Key Lab Adv Control & Intelligent Automat C, Wuhan 430074, Peoples R China
[3] Tokyo Univ Technol, Sch Engn, Hachioji, Tokyo 1920982, Japan
[4] Minist Educ, Engn Res Ctr Intelligent Technol Geoexplorat, Wuhan 430074, Peoples R China
基金
中国国家自然科学基金;
关键词
Human Pose Estimation; IMU; Computer Vision; Rehabilitation Therapy; INERTIAL SENSORS; UPPER-LIMB; SYSTEM; MOTION; RECOVERY; STROKE; VIDEO;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the rapid development of human pose estimation, the human-pose-estimation method applied in rehabilitation therapy has attracted more and more attention in today's aging society. Among them, inertial measurement units (IMU) and computer vision are two significant methods for human pose estimation. We mainly pay attention to the application of these two methods in the rehabilitation therapy field. In this paper, we first summarize the research status of IMU and computer vision in the field of rehabilitation therapy. Subsequently, we find that combining the two methods can produce better results. Finally, the main problems of the current research and possible development directions are identified.
引用
收藏
页码:6410 / 6415
页数:6
相关论文
共 50 条
  • [41] Markerless human pose estimation for biomedical applications: a survey
    Avogaro, Andrea
    Cunico, Federico
    Rosenhahn, Bodo
    Setti, Francesco
    [J]. FRONTIERS IN COMPUTER SCIENCE, 2023, 5
  • [42] 2D Human pose estimation: a survey
    Haoming Chen
    Runyang Feng
    Sifan Wu
    Hao Xu
    Fengcheng Zhou
    Zhenguang Liu
    [J]. Multimedia Systems, 2023, 29 : 3115 - 3138
  • [43] Global Pose Estimation with Adaptive GPS/IMU Fusion
    Oh, Taek Jun
    Chung, Myung Jin
    [J]. INTELLIGENT AUTONOMOUS SYSTEMS 12, VOL 1, 2013, 193 : 613 - 620
  • [44] 2D Human pose estimation: a survey
    Chen, Haoming
    Feng, Runyang
    Wu, Sifan
    Xu, Hao
    Zhou, Fengcheng
    Liu, Zhenguang
    [J]. MULTIMEDIA SYSTEMS, 2023, 29 (05) : 3115 - 3138
  • [45] Survey on In-vehicle Datasets for Human Pose Estimation
    Yoo, Jun-Sang
    Jung, Seung-Won
    [J]. 2022 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC), 2022,
  • [46] Nonlinear Filter Design for Pose and IMU Bias Estimation
    Scandaroli, Glauco Garcia
    Morin, Pascal
    [J]. 2011 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2011,
  • [47] Vision-based pose and heart rate detection for rehabilitation cycling
    van Gastel, M. J. H.
    Zinger, S.
    Kemps, H. M. C.
    de With, P. H. N.
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE), 2015, : 299 - 300
  • [48] Review on Vision-Based Pose Estimation of UAV Based on Landmark
    Yang Zhigui
    Li ChuanJun
    [J]. 2017 2ND INTERNATIONAL CONFERENCE ON FRONTIERS OF SENSORS TECHNOLOGIES (ICFST), 2017, : 453 - 457
  • [49] Body-Worn IMU Human Skeletal Pose Estimation Using a Factor Graph-Based Optimization Framework
    McGrath, Timothy
    Stirling, Leia
    [J]. SENSORS, 2020, 20 (23) : 1 - 29
  • [50] Split-and-recombine and vision transformer based 3D human pose estimation
    Lu, Xinyi
    Xu, Fan
    Hu, Shuiyi
    Yu, Tianqi
    Hu, Jianling
    [J]. Signal, Image and Video Processing, 2025, 19 (01)