Self-Physical Rehabilitation System Using the Microsoft Kinect

被引:0
|
作者
Patanapanich, Makawat [1 ]
Vanijja, Vajirasak [1 ]
Dajpratham, Piyapat [2 ]
机构
[1] King Mongkuts Univ Technol Thonburi, Fac Informat Technol, Informat Technol, 126 Prachautid Rd, Bangkok 10140, Thailand
[2] Mahidol Univ, Siriraj Hosp, Fac Med, Dept Rehabil Med, Bangkok 10700, Thailand
关键词
self-physical rehabilitation; home rehab; motion detection; kinect;
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
In this paper, We present a Self-Physical Rehabilitation System (SPRS) that assists patients to rehab correctly at home by themselves without physical therapists for solving the problem of access to medical service. SPRS uses KINECT to detect movement of patient's body while doing self-rehab and processing of data from motion detection of patients by KINECT to determine accuracy of gesture. This software that allows patients to exercises with 9 gestures of balance physical therapies which are Hip extension, Side Leg raise, Knee flexion, Hip flexion, Plantar flexion, Tandem walk, Side walk, Chair Stands, and Timed Up&Go. The results show SPRS allows patients rehab correctly with a slight error that better than exercise without assisted by software.
引用
收藏
页码:241 / 247
页数:7
相关论文
共 50 条
  • [31] A Kinect based intelligent e-rehabilitation system in physical therapy
    Gal, Norbert
    Andrei, Diana
    Nemes, Dan Ion
    Nadasan, Emanuela
    Stoicu-Tivadar, Vasile
    DIGITAL HEALTHCARE EMPOWERING EUROPEANS, 2015, 210 : 489 - 493
  • [32] Segmentation and Recognition of Fingers Using Microsoft Kinect
    Desai, Smit
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON COMMUNICATION AND NETWORKS, 2017, 508 : 45 - 53
  • [33] Filtering motion signals from Microsoft Kinect® in the context of stroke rehabilitation
    Moreira G.M.
    Giovanini L.H.F.
    de Castro M.P.R.
    Nogueira G.N.
    Boumer T.C.
    Manffra E.F.
    Research on Biomedical Engineering, 2019, 35 (3-4) : 265 - 270
  • [34] Balance Assessment using Microsoft Xbox Kinect
    Eltoukhy, Moataz
    Kuenze, Christopher
    Oh, Jeonghoon
    Signorile, Joseph
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2017, 49 (05): : 315 - 315
  • [35] Proportional Derivative Control Based Robot Arm System Using Microsoft Kinect
    Afthoni, Rizqa
    Rizal, Achmad
    Susanto, Erwin
    2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS, BIOMIMETICS, AND INTELLIGENT COMPUTATIONAL SYSTEMS (ROBIONETICS), 2013, : 24 - 29
  • [36] Safe Lifting: An Adaptive Training System for Factory Workers Using the Microsoft Kinect
    Delpresto, Jeffrey
    Duan, Chuhong
    Layiktez, Lara M.
    Moju-Igbene, Eyitemi G.
    Wood, Matthew B.
    Beling, Peter A.
    2013 IEEE SYSTEMS AND INFORMATION ENGINEERING DESIGN SYMPOSIUM (SIEDS), 2013, : 64 - 69
  • [37] Development of a Kinect Rehabilitation System
    Soares, Joao Couto
    Vieira, Agata
    Postolache, Octavian
    Gabriel, Joaquim
    INTERNATIONAL JOURNAL OF ONLINE ENGINEERING, 2013, 9 (38-40) : 38 - 40
  • [38] Performance analysis of a generalized motion capture system using microsoft kinect 2.0
    Napoli, Alessandro
    Glass, Stephen
    Ward, Christian
    Tucker, Carole
    Obeid, Iyad
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2017, 38 : 265 - 280
  • [39] An Egg Volume Measurement System Based on the Microsoft Kinect
    Chan, Ting On
    Lichti, Derek D.
    Jahraus, Adam
    Esfandiari, Hooman
    Lahamy, Herve
    Steward, Jeremy
    Glanzer, Matthew
    SENSORS, 2018, 18 (08)
  • [40] Self-physical and emotional perception in rhythmic gymnastics for drop out
    D'Elia, Francesca
    Izzo, Riccardo
    Senatore, Barbara
    JOURNAL OF HUMAN SPORT AND EXERCISE, 2019, 14 : S1071 - S1079