Development of a Real-time Upper Limb's Motion Tracking Exoskeleton Device for Active Rehabilitation Using an inertia Sensor

被引：0
|
作者：
Song, Zhibin [1 ]
Guo, Shuxiang [2 ,3 ]
机构：
[1] Kagawa Univ, Grad Sch Engn, Hayashi Cho, Takamatsu, Kagawa 7610369, Japan
[2] Harbin Engn Univ, Dept Intelligent Mech Syst Engn, Harbin, Peoples R China
[3] Kagawa Univ, Hayashi Cho, Takamatsu, Kagawa 7610396, Japan
来源：
2011 9TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2011) | 2011年
关键词：
Exoskeleton device; Motion tracking; Inertia sensor; Upper limb; ARMIN II; STROKE; ROBOT;
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, a real-time upper limb's motion tracking exoskeleton device is proposed and developed, which can be used in active rehabilitation of upper limb for stroke. This device is portable and wearable and is potential to be used in the passive and active training for stroke patients. Passive training has been finished in previous work and in this paper, the preliminary work for active rehabilitation is presented, which is realization of the real-time upper limb's motion tracking. We use an adaptive weighted average filtering and double close-loop control to realize real-time and stable tracking performance. Experiments have been conducted to prove that it is suitable for active rehabilitation.
引用
收藏
页码：1206 / 1211
页数：6
相关论文
共 50 条
  • [1] Development of a lower limb rehabilitation exoskeleton based on real-time gait detection and gait tracking
    Zhang, Chao
    Liu, Gangfeng
    Li, Changle
    Zhao, Jie
    Yu, Hongying
    Zhu, Yanhe
    ADVANCES IN MECHANICAL ENGINEERING, 2016, 8 (01)
  • [2] Development of A Low Cost Upper Limb Motion Tracking System with Real-Time Visual Output
    Anuar, Adzly
    Sahari, Khairul Salleh Mohamed
    Yue, Ewe Chern
    2016 IEEE INTERNATIONAL SYMPOSIUM ON ROBOTICS AND INTELLIGENT SENSORS (IRIS), 2016, : 146 - 150
  • [3] Real-time Control for an Upper-limb Exoskeleton Robot using ANFIS
    Jiang, Shao-Fu
    Young, Kuu-Young
    Ko, Chun-Hsu
    2017 INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND INTELLIGENT SYSTEMS (ARIS), 2017, : 25 - 25
  • [4] Robust controls for upper limb exoskeleton, real-time results
    Rosales Luengas, Yukio
    Lopez-Gutierrez, Ricardo
    Salazar, Sergio
    Lozano, Rogelio
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2018, 232 (07) : 797 - 806
  • [5] A Real-Time Control Method for Upper Limb Exoskeleton Based on Active Torque Prediction Model
    Li, Sujiao
    Zhang, Lei
    Meng, Qiaoling
    Yu, Hongliu
    BIOENGINEERING-BASEL, 2023, 10 (12):
  • [6] Human Limb Motion Real-time Tracking Based on CamShift for Intelligent Rehabilitation System
    Luo, Yuan
    Yang, Hongmei
    Hu, Zhangfang
    2009 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO 2009), VOLS 1-4, 2009, : 343 - +
  • [7] Development of an Upper Limb Exoskeleton for Rehabilitation with Feedback from EMG and IMU Sensor
    Ganesan, Yogeswaran
    Gobee, Suresh
    Durairajah, Vickneswary
    2015 IEEE INTERNATIONAL SYMPOSIUM ON ROBOTICS AND INTELLIGENT SENSORS (IEEE IRIS2015), 2015, 76 : 53 - 59
  • [8] Study on Resistance Training for Upper-Limb Rehabilitation Using an Exoskeleton Device
    Song, Zhibin
    Wang, Zhenyu
    Guo, Shuxiang
    Gao, Baofeng
    2013 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (ICMA), 2013, : 932 - 938
  • [9] Real-Time Limb Motion Tracking with a Single IMU Sensor for Physical Therapy Exercises
    Wei, Wenchuan
    Kurita, Keiko
    Kuang, Jilong
    Gao, Alex
    2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC), 2021, : 7152 - 7157
  • [10] Real-time Active Control of a Lower Limb Exoskeleton Based on sEMG
    Ma, Xunju
    Long, Xingguo
    Yan, Zefeng
    Wang, Can
    Guo, Ziming
    Wu, Xinyu
    2019 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM), 2019, : 589 - 594
12345