A Novel Water Proof Prosthetic Hand Based on Conductive Silicon sEMG Sensors

被引:0
|
作者
Xue, Jianing [1 ]
Kang, Fei [1 ]
Yokoi, Hiroshi [2 ]
Zhu, Chi [3 ]
Duan, Feng [1 ]
机构
[1] Nankai Univ, Coll Artificial Intelligence, Tianjin, Peoples R China
[2] Univ Electrocommun, Brain Sci Inspired Life Support Res Ctr, Tokyo, Japan
[3] Maebashi Inst Technol, Dept Syst Life Engn, Maebashi, Gumma, Japan
基金
中国国家自然科学基金;
关键词
PATTERN-RECOGNITION; CLASSIFICATION; NUMBER;
D O I
10.1109/rcar49640.2020.9303310
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Although current prosthetic hands can provide some hand functions for the amputees, they are impossible to be used in the water. During the amputees' daily lives, it is inevitable for them to use hands in the water environment, such as washing, swimming. In order to improve the quality of amputees' lives, it is very necessary to develop a water proof prosthetic hand. We develope conductive silicon surface electromyography (sEMG) sensors to acquire sEMG signals in the water environment. For sEMG signals collected by flexible water proof electrodes in the water, we develope sEMG signals recognition method. The experimental results show that we can control the prosthetic hand to complete four gestures based on the sENIG signals, and the accuracy is 93.89%. Therefore, it can be concluded that the sEMG signals recognition method and the prosthetic hand control system are feasible.
引用
收藏
页码:44 / 49
页数:6
相关论文
共 50 条
  • [21] A Novel Interface Device Developed based on MRT for Prosthetic Hand
    Fang, Bin
    Chen, Ziming
    Sun, Fuchun
    Yang, Yong
    Min, Huasong
    Liu, Huaping
    Hou, Shoucheng
    Sun, Baixin
    2020 CHINESE AUTOMATION CONGRESS (CAC 2020), 2020, : 2163 - 2168
  • [22] Compliant Grasp Control Method for the Underactuated Prosthetic Hand Based on the Estimation of Grasping Force and Muscle Stiffness with sEMG
    Xu, Xiaolei
    Deng, Hua
    Zhang, Yi
    Yi, Nianen
    BIOMIMETICS, 2024, 9 (11)
  • [23] Implementation of sEMG-Based Real-Time Embedded Adaptive Finger Force Control for a Prosthetic Hand
    Potluri, Chandrasekhar
    Anugolu, Madhavi
    Yihun, Yimesker
    Kumar, Parmod
    Chiu, Steve
    Schoen, Marco P.
    Naidu, D. Subbaram
    2011 50TH IEEE CONFERENCE ON DECISION AND CONTROL AND EUROPEAN CONTROL CONFERENCE (CDC-ECC), 2011, : 861 - 866
  • [24] A Virtual sEMG Prosthetic Hand Development System Based on LabVIEW and PCI-1710HG A/D Card
    Wu, Zhiyong
    Niu, Haijun
    Li, Deyu
    Pu, Fang
    Fan, Yubo
    2010 3RD INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS (BMEI 2010), VOLS 1-7, 2010, : 1743 - 1745
  • [25] A Multi-Scale CNN for Transfer Learning in sEMG-Based Hand Gesture Recognition for Prosthetic Devices
    Fratti, Riccardo
    Marini, Niccolo
    Atzori, Manfredo
    Mueller, Henning
    Tiengo, Cesare
    Bassetto, Franco
    SENSORS, 2024, 24 (22)
  • [26] Silicon based nano-sensors for neutron dosimetry: Proof of concept
    Cyriac, Swapna Lilly
    Bindhu, B.
    Midhun, C. V.
    Musthafa, M. M.
    MATERIALS TODAY-PROCEEDINGS, 2020, 33 : 2293 - 2295
  • [27] Proof of Concept of an Online EMg-Based Decoding of Hand Postures and Individual Digit Forces for Prosthetic Hand control
    Gailey, Alycia
    Artemiadis, Panagiotis
    Santello, Marco
    FRONTIERS IN NEUROLOGY, 2017, 8
  • [28] A fuzzy granular logistic regression algorithm for sEMG-based cross-individual prosthetic hand gesture classification
    Diao, Yanan
    Chen, Qiangqiang
    Liu, Yan
    He, Linjie
    Sun, Yue
    Li, Xiangxin
    Chen, Yumin
    Li, Guanglin
    Zhao, Guoru
    JOURNAL OF NEURAL ENGINEERING, 2023, 20 (02)
  • [29] A novel concatenate feature fusion RCNN architecture for sEMG-based hand gesture recognition
    Xu, Pufan
    Li, Fei
    Wang, Haipeng
    PLOS ONE, 2022, 17 (01):
  • [30] Optimal design of dexterous prosthetic hand with five-joint thumb and fingertip tactile sensors based on novel precision grasp metric
    Ke, Ang
    Huang, Jian
    Wang, Jing
    Xiong, Caihua
    He, Jiping
    MECHANISM AND MACHINE THEORY, 2022, 171