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
  • [1] A Microsoft Kinect based virtual rehabilitation system
    Tseng, Chien-Ming
    Lai, Chung-Liang
    Erdenetsogt, D.
    Chen, Yung-Fu
    2014 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C 2014), 2014, : 934 - 937
  • [2] Frozen Shoulder Rehabilitation using Microsoft Kinect
    Mangal, Naveen Kumar
    Pal, Saswati
    Khosla, Arun
    2017 IEEE INTERNATIONAL CONFERENCE ON INNOVATIONS IN GREEN ENERGY AND HEALTHCARE TECHNOLOGIES (IGEHT), 2017,
  • [3] Prescription Software for Recovery and Rehabilitation Using Microsoft Kinect
    Simmons, Stephen
    McCrindle, Rachel
    Sperrin, Malcolm
    Smith, Andy
    PROCEEDINGS OF THE 2013 7TH INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING TECHNOLOGIES FOR HEALTHCARE AND WORKSHOPS (PERVASIVEHEALTH 2013), 2013, : 323 - 326
  • [4] Applying Microsoft Kinect for Windows to Develop a Stroke Rehabilitation System
    Yang, K. C.
    Huang, C. H.
    Le, C. F.
    2016 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM), 2016, : 1923 - 1927
  • [5] Interactive Game-Based Rehabilitation Using the Microsoft Kinect
    Lange, Belinda
    Koenig, Sebastian
    McConnell, Eric
    Chang, Chien-Yen
    Juang, Rick
    Suma, Evan
    Bolas, Mark
    Rizzo, Albert
    IEEE VIRTUAL REALITY CONFERENCE 2012 PROCEEDINGS, 2012, : 170 - +
  • [6] 2Vita-B Physical: An Intelligent Home Rehabilitation System Based on Microsoft Azure Kinect
    Antico, Mauro
    Balletti, Nicoletta
    Ciccotelli, Andrea
    Ciccotelli, Marco
    Laudato, Gennaro
    Lazich, Aldo
    Notarantonio, Marco
    Oliveto, Rocco
    Ricciardi, Stefano
    Scalabrino, Simone
    Simeone, Jonathan
    FRONTIERS IN HUMAN DYNAMICS, 2021, 3
  • [7] A new approach of developing games for motor rehabilitation using Microsoft Kinect
    de Araujo, Francisco M. A.
    Viana Filho, Paulo Roberto F.
    Adad Filho, Jesus A.
    Fonseca Ferreira, Nuno M.
    Valente, Antonio
    Soares, Salviano F. S. P.
    2019 IEEE 7TH INTERNATIONAL CONFERENCE ON SERIOUS GAMES AND APPLICATIONS FOR HEALTH (SEGAH), 2019,
  • [8] The deadlift form analysis system using Microsoft Kinect
    Sutthiprapa, Suputtra
    Vanijja, Vajirasak
    Likitwon, Thanakrit
    8TH INTERNATIONAL CONFERENCE ON ADVANCES IN INFORMATION TECHNOLOGY, 2017, 111 : 174 - 182
  • [9] Localization system using microsoft kinect for indoor structures
    Tamura, Yuichi
    Takabatake, Yuki
    Kashima, Naoya
    Umetani, Tomohiro
    Plasma and Fusion Research, 2012, 7 (SPL.ISS.1)
  • [10] A motion rehabilitation self-training and evaluation system using Kinect
    Pei, Wei
    Xu, Guanghua
    Li, Min
    Ding, Hui
    Zhang, Sicong
    Luo, Ailing
    2016 13TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI), 2016, : 353 - 357