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
来源
2014 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY SYSTEMS AND INNOVATION (ICITSI) | 2014年
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
  • [21] Improvement of a Visual-based Anthropometry Measurement System using Microsoft Kinect and a Rotating Platform
    Wahid, Mohd Faiz
    Kamat, Seri Rahayu
    Shamsuddin, Syamimi
    Hambali, Ruzy Haryati
    Saad, Mohamad Hanif Md
    PROCEEDINGS OF INNOVATIVE RESEARCH AND INDUSTRIAL DIALOGUE 2018 (IRID'18), 2019, : 230 - 231
  • [22] Towards a detailed anthropometric body characterization using the Microsoft Kinect
    Domingues, Ana
    Barbosa, Filipa
    Pereira, Eduardo M.
    Santos, Marcio Borgonovo
    Seixas, Addrito
    Vilas-Boas, Joao
    Gabriel, Joaquim
    Vardasca, Ricardo
    TECHNOLOGY AND HEALTH CARE, 2016, 24 (02) : 251 - 265
  • [23] Fall Detection in Homes of Older Adults Using the Microsoft Kinect
    Stone, Erik E.
    Skubic, Marjorie
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2015, 19 (01) : 290 - 301
  • [24] A Kinect-based Oral Rehabilitation System
    Pan, Tse-Yu
    Wong, Yong-Xiang
    Lee, Ting-Chia
    Hu, Min-Chun
    PROCEEDINGS OF 2015 INTERNATIONAL CONFERENCE ON ORANGE TECHNOLOGIES (ICOT), 2015, : 71 - 74
  • [25] A Kinect-based system for physical rehabilitation: A pilot study for young adults with motor disabilities
    Chang, Yao-Jen
    Chen, Shu-Fang
    Huang, Jun-Da
    RESEARCH IN DEVELOPMENTAL DISABILITIES, 2011, 32 (06) : 2566 - 2570
  • [26] Automated Tracking and Quantification of Autistic Behavioral Symptoms Using Microsoft Kinect
    Kang, Joon Young
    Kim, Ryunhyung
    Kim, Hyunsun
    Kang, Yeonjune
    Hahn, Susan
    Fu, Zhengrui
    Khalid, Mamoon I.
    Schenck, Enja
    Thesen, Thomas
    MEDICINE MEETS VIRTUAL REALITY 22, 2016, 220 : 167 - 170
  • [27] DACTYL ALPHABET GESTURE RECOGNITION IN A VIDEO SEQUENCE USING MICROSOFT KINECT
    Artyukhin, S. G.
    Mestetskiy, L. M.
    PHOTOGRAMMETRIC TECHNIQUES FOR VIDEO SURVEILLANCE, BIOMETRICS AND BIOMEDICINE, 2015, 40-5 (W6): : 83 - 86
  • [28] Unobtrusive, Continuous, In-Home Gait Measurement Using the Microsoft Kinect
    Stone, Erik E.
    Skubic, Marjorie
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2013, 60 (10) : 2925 - 2932
  • [29] Automated measurement of repetitive behavior using the Microsoft Kinect: a proof of concept
    Maharaj, Andre, V
    Gutierrez, Anibal
    Cueto, Carlos
    Cadavid, Steven
    BEHAVIORAL INTERVENTIONS, 2020, 35 (04) : 488 - 497
  • [30] Using the Microsoft Kinect for 3D Map Building and Teleoperation
    Woodall, William J.
    Bevly, David
    2012 IEEE/ION POSITION LOCATION AND NAVIGATION SYMPOSIUM (PLANS), 2012, : 1054 - 1061