GMM-Based Single-Joint Angle Estimation Using EMG Signals

被引：14

作者：

Michieletto, Stefano ^{[1
]}

Tonin, Luca ^{[1
]}

Antonello, Mauro ^{[1
]}

Bortoletto, Roberto ^{[1
]}

Spolaor, Fabiola ^{[2
]}

Pagello, Enrico ^{[1
]}

Menegatti, Emanuele ^{[1
]}

机构：

[1] Univ Padua, DEI, IAS Lab, Padua, Italy

[2] Univ Padua, DEI, Movement Anal Lab, Padua, Italy

来源：

INTELLIGENT AUTONOMOUS SYSTEMS 13 | 2016年 / 302卷

关键词：

EMG signals; Gaussian mixture model; Gaussian mixture regression; Single-joint angle estimation; LENGTH; MODEL;

D O I：

10.1007/978-3-319-08338-4_85

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper aims to explore the possibility to use Electromyography (EMG) to train a Gaussian Mixture Model (GMM) in order to estimate the bending angle of a single human joint. In particular, EMG signals from eight leg muscles and the knee joint angle are acquired during a kick task from three different subjects. GMM is validated on new unseen data and the classification performances are compared with respect to the number of EMG channels and the number of collected trials used during the training phase. Achieved results show that our framework is able to obtain high performances even using few EMG channels and with a small training dataset (Normalized Mean Square Error: 0.96, 0.98, 0.98 for the three subjects, respectively), opening new and interesting perspectives for the hybrid control of humanoid robots and exoskeletons.

引用

页码：1173 / 1184

页数：12

共 50 条

[41] Computer-based estimation of the hip joint reaction force and hip flexion angle in three different sitting configurations
Van Houcke, J.
Schouten, A.
Steenackers, G.
Vandermeulen, D.
Pattyn, C.
Audenaert, E. A.
APPLIED ERGONOMICS, 2017, 63 : 99 - 105
[42] Joint estimation of absolute and relative permeabilities using ensemble-based Kalman filter
Jahanbakhshi, Saman
Pishyaie, Mahmoud Reza
Boozarjomehry, Ramin Bozorgmehry
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2015, 26 : 1232 - 1245
[43] Estimation of Knee Extension Force Using Mechanomyography Signals Based on GRA and ICS-SVR
Li, Zebin
Gao, Lifu
Lu, Wei
Wang, Daqing
Cao, Huibin
Zhang, Gang
SENSORS, 2022, 22 (12)
[44] Shift-Adaptive Estimation of Joint Angle Using Instrumented Brace With Two Stretch Sensors Based on Gaussian Mixture Models (vol 5, pg 5881, 2020)
Eguchi, Ryo
Michael, Brendan
Howard, Matthew
Takahashi, Masaki
IEEE ROBOTICS AND AUTOMATION LETTERS, 2020, 5 (04): : 6804 - 6804
[45] Continuous Estimation of Elbow Joint Angle by Multiple Features of Surface Electromyographic Using Grey Features Weighted Support Vector Machine
Xiao, Feiyun
Wang, Yong
Gao, Yongsheng
Zhu, Yanhe
Zhao, Jie
JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2017, 7 (03) : 574 - 583
[46] Estimation of Hip, Knee, and Ankle Joint Moment Using a Single IMU Sensor on Foot Via Deep Learning
Bin Hossain, Md Sanzid
Guo, Zhishan
Choi, Hwan
2022 IEEE/ACM CONFERENCE ON CONNECTED HEALTH: APPLICATIONS, SYSTEMS AND ENGINEERING TECHNOLOGIES (CHASE 2022), 2022, : 25 - 33
[47] Tool wear estimation in machining based on the flank wear inclination angle changes using the FE method
Nooraie, Ramin Yousefi
Safari, Mehdi
Pak, Abbas
MACHINING SCIENCE AND TECHNOLOGY, 2020, 24 (03) : 425 - 445
[48] Spatial separation of speech signals using amplitude estimation based on interaural comparisons of zero-crossings
Park, Hyung-Min
Stern, Richard M.
SPEECH COMMUNICATION, 2009, 51 (01) : 15 - 25
[49] Continuous and simultaneous estimation of lower limb multi-joint angles from sEMG signals based on stacked convolutional and LSTM models
Lu, Yanzheng
Wang, Hong
Zhou, Bin
Wei, Chunfeng
Xu, Shiqiang
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 203
[50] Joint Estimation of Battery Parameters and State of Charge Using an Extended Kalman Filter: A Single-Parameter Tuning Approach
Beelen, Henrik
Bergveld, Henk Jan
Donkers, M. C. F.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2021, 29 (03) : 1087 - 1101

← 1 2 3 4 5 →