Motion-Assist Robot for the Lower Limb to Rotate and Correct Movement of the Knee

被引:0
|
作者
Shimodaira, Tadayoshi [1 ]
Yabunaka, Toshihito [1 ]
Kato, Norihiko [1 ]
Yano, Ken'ichi [1 ]
Shinoda, Nobuyuki [2 ]
Nakanishi, Akira [3 ]
机构
[1] Mie Univ, Dept Mech Engn, Tsu, Mie 5148507, Japan
[2] Meiko Brace Co Ltd, Owariasahi, Aichi 4880021, Japan
[3] Sinfonia Technol Co Ltd, Ise, Mie 5168550, Japan
关键词
ADDUCTION MOMENT; OSTEOARTHRITIS; WALKING;
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 recent years, exoskeleton robots have been developed to support walking and rehabilitation in the elderly. These robots are attached directly to the body. They offer support by giving torque to the knee joint. However, the elderly person often has abnormal rotation of the knee due to motor system disease. Thus, it is necessary to consider the rotation of the knee in the development of such robots. In this study, we develop a motion-assist robot for the lower limb to rotate the knee. The movement of the knee that rotates the thigh inward as the leg extends from 30 degrees to full extension is called the screw home movement. Abnormal rotation in an elderly person with motor system disease is corrected by having the robot rotate the thigh inward. The walking support system uses a motor and bevel gear. In addition, we developed the orthosis to transmit the power assist from robot. A controlling motor was used to extend the motion-assist robot for the lower limb so that it could be evaluated. Results of the experiment were determined using a motion-capture system, and they confirmed that the developed rotation mechanism of the robot rotated the thigh.
引用
收藏
页码:1281 / 1286
页数:6
相关论文
共 50 条
  • [31] Application of Redundant-DOF for Perception-Assist of a Lower-Limb Exoskeleton Robot
    Hora, Takahiro
    Kiguchi, Kazuo
    2017 IEEE INTERNATIONAL CONFERENCE ON CYBORG AND BIONIC SYSTEMS (CBS), 2017, : 277 - 281
  • [32] Optimal Design of Multi-linked Knee Joint for Lower Limb Wearable Robot
    Shin, Young June
    Kim, Gwang Tae
    Kim, Yongcheol
    INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, 2023, 24 (06) : 967 - 976
  • [33] Optimal Design of Multi-linked Knee Joint for Lower Limb Wearable Robot
    Young June Shin
    Gwang Tae Kim
    Yongcheol Kim
    International Journal of Precision Engineering and Manufacturing, 2023, 24 : 967 - 976
  • [34] The Effect of Passive Lower Limb Assist Device on Muscle Synergy in Standing-Up Motion
    Torigai, Shunsuke
    Tanaka, Takayuki
    2021 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII), 2021, : 566 - 571
  • [35] Design of Novel Knee Joint Mechanism of Lower-Limb Exoskeleton to Realize Spatial Motion of Human Knee
    Hong, Man Bok
    Kim, Yongcheol
    Kim, Gwang Tae
    Lee, Myunghyun
    Kim, Seonwoo
    2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, IROS, 2023, : 2419 - 2425
  • [36] A Lower Limb Exoskeleton Recycling Energy From Knee and Ankle Joints to Assist Push-Off
    Chang, Yihua
    Wang, Weixin
    Fu, Chenglong
    JOURNAL OF MECHANISMS AND ROBOTICS-TRANSACTIONS OF THE ASME, 2020, 12 (05):
  • [37] Design on Articular Motion & Servo Driving with Experimental Analysis for Lower Limb Exoskeleton Robot
    Wang B.
    Wang Y.
    Liang Y.
    Wang Z.
    Ji J.
    Xu D.
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2019, 55 (23): : 55 - 66
  • [38] An Active Control Method for a Lower Limb Rehabilitation Robot with Human Motion Intention Recognition
    Song, Zhuangqun
    Zhao, Peng
    Wu, Xueji
    Yang, Rong
    Gao, Xueshan
    SENSORS, 2025, 25 (03)
  • [39] Motion Path Planning of Wearable Lower Limb Exoskeleton Robot Based on Feature Description
    Wang, Ying
    Sui, Songyu
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2023, 14 (06) : 698 - 704
  • [40] CONTROL STRATEGY FOR POWER ASSIST UPPER LIMB REHABILITATION ROBOT WITH THE THERAPIST'S MOTION INTENTION PREDICTION
    Adeola-Bello, Zulikha Ayomikun
    Azlan, Norsinnira Zainul
    Abu Hassan, Salmah Anim
    IIUM ENGINEERING JOURNAL, 2023, 24 (01): : 285 - 300