Pattern Recognition of Hand Movements with Low Density sEMG for Prosthesis Control Purposes

被引：0

作者：

Villarejo, J. J. ^{[1
]}

Frizera, A. ^{[1
]}

Bastos, T. F. ^{[1
]}

Sarmiento, J. F. ^{[2
]}

机构：

[1] Univ Fed Espirito Santo, Programa Posgrad Engn Eletr, Vitoria, Brazil

[2] Univ Fed Espirito Santo, Doutorado RENORBIO, Vitoria, Brazil

来源：

2013 IEEE 13TH INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR) | 2013年

关键词：

sEMG; multifunction myoelectric control system; low level movements; pattern recognition; isometric task;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper presents a study related to the identification of different hand gestures from EMG signals from forearm muscles, to be used as human machine interface system in a hand prosthesis. The capture of EMG signals was performed with healthy people during different hand gestures related to the fingers flexion -individual and pairs-and flexion / extension and grasp grisp, organized into four categories. The low-level and low-density of sEMG signals was taking into account. Different characteristics were studied based on time and frequency, and were subsequently combined into pairs with fractal analysis, used for low level schemes. The results showed 95.4% higher than recognitions.

引用

页数：6

共 50 条

[21] A heuristic fuzzy logic approach to EMG pattern recognition for multifunctional prosthesis control
Ajiboye, AB
Weir, RF
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2005, 13 (03) : 280 - 291
[22] A Comparison of Pattern Recognition Control and Direct Control of a Multiple Degree-of-Freedom Transradial Prosthesis
Kuiken, Todd A.
Miller, Laura A.
Turner, Kristi
Hargrove, Levi J.
IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE, 2016, 4
[23] EMG and ENG-envelope pattern recognition for prosthetic hand control
Noce, Emiliano
Bellingegni, Alberto Dellacasa
Ciancio, Anna Lisa
Sacchetti, Rinaldo
Davalli, Angelo
Guglielmelli, Eugenio
Zollo, Loredana
JOURNAL OF NEUROSCIENCE METHODS, 2019, 311 : 38 - 46
[24] Real-Time Control of Finger and Wrist Movements in a Virtual Hand Using Traditional Features of sEMG and Bayesian Classifier
Bastos-Filho, Teodiano
Tello, Richard M. G.
Arjunan, Sridhar
Shimada, Hirokazu
Kumar, Dinesh
2013 ISSNIP BIOSIGNALS AND BIOROBOTICS CONFERENCE (BRC), 2013, : 209 - 213
[25] Development of an Armband EMG Module and a Pattern Recognition Algorithm for the 5-Finger Myoelectric Hand Prosthesis
Kim, Seongjung
Kim, Jongman
Koo, Bummo
Kim, Taehee
Jung, Haneul
Park, Sehoon
Kim, Seunggi
Kim, Youngho
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, 2019, 20 (11) : 1997 - 2006
[26] Development of an Armband EMG Module and a Pattern Recognition Algorithm for the 5-Finger Myoelectric Hand Prosthesis
Seongjung Kim
Jongman Kim
Bummo Koo
Taehee Kim
Haneul Jung
Sehoon Park
Seunggi Kim
Youngho Kim
International Journal of Precision Engineering and Manufacturing, 2019, 20 : 1997 - 2006
[27] A Low-Cost, Wireless, 3-D-Printed Custom Armband for sEMG Hand Gesture Recognition
Cote-Allard, Ulysse
Gagnon-Turcotte, Gabriel
Laviolette, Francois
Gosselin, Benoit
SENSORS, 2019, 19 (12)
[28] Deep Neural Network Approach for Hand, Wrist, Grasping and Functional Movements Classification using Low-cost sEMG Sensors
Chaiyaroj, Attawit
Sri-iesaranusorn, Panyawut
Buekban, Chatchai
Dumnin, Songphon
Thanawattano, Chusak
Surangsrirat, Decho
2019 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2019, : 1443 - 1448
[29] An Analysis of Intrinsic and Extrinsic Hand Muscle EMG for Improved Pattern Recognition Control
Adewuyi, Adenike A.
Hargrove, Levi J.
Kuiken, Todd A.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2016, 24 (04) : 485 - 494
[30] Real-Time sEMG Pattern Recognition of Multiple-Mode Movements for Artificial Limbs Based on CNN-RNN Algorithm
Li, Sujiao
Zhang, Yue
Tang, Yuanmin
Li, Wei
Sun, Wanjing
Yu, Hongliu
ELECTRONICS, 2023, 12 (11)

← 1 2 3 4 5 →