Elbow Joint Angle Estimation in Wavelet Neural Network Using ReliefF Selected Features of sEMG and Post Filter

2018 ◽  
Author(s):  
Yang Luo ◽  
Yongsheng Gao ◽  
Qiang Li ◽  
Jie Zhao ◽  
Xingtong Fei
Keyword(s):  
Neural Network ◽  
Elbow Joint ◽  
Joint Angle ◽  
Wavelet Neural Network ◽  
Angle Estimation ◽  
Post Filter

scholarly journals Estimation of Continuous Joint Angles of Upper Limb Based on sEMG by Using GA-Elman Neural Network

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Junhong Wang ◽  
Qiqi Hao ◽  
Xugang Xi ◽  
Jiuwen Cao ◽  
Anke Xue ◽  
...  
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Elbow Joint ◽  
Joint Angle ◽  
Wavelet Packet ◽  
Upper Limbs ◽  
Joint Angles ◽  
Semg Signal ◽  
Elman Neural Network ◽  
Shoulder Movement

The estimation of continuous and simultaneous multijoint angle based on surface electromyography (sEMG) signal is of considerable significance in rehabilitation practice. However, there are few studies on the continuous joint angle of multiple joints at present. In this paper, the wavelet packet energy entropy (WPEE) of the special subspace was investigated as a feature of the sEMG signal. An Elman neural network optimized by genetic algorithm (GA) was established to estimate the joint angle of shoulder and elbow. First, the accuracy of the method is verified by estimating the angle of the shoulder joint. Then, this method was used to simultaneously and continuously estimate the shoulder and elbow joint angle. Six subjects flexed and extended the upper limbs according to the intended movements of the experiment. The results show that this method can obtain a decent performance with a RMSE of 3.4717 and R2 of 0.8283 in shoulder movement and with a RMSE of 4.1582 and R2 of 0.8114 in continuous synchronous movement of the shoulder and elbow.

Artificial neural network based ankle joint angle estimation using instrumented foot insoles

2019 ◽  
Vol 54 ◽  
pp. 101614 ◽  
Author(s):  
Saaveethya Sivakumar ◽  
Alpha Agape Gopalai ◽  
King Hann Lim ◽  
Darwin Gouwanda
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Ankle Joint ◽  
Joint Angle ◽  
Angle Estimation ◽  
Artificial Neural

Robust Features for Elbow Joint Angle Estimation Based on Electromyography

2018 ◽  
Vol 8 (5) ◽  
pp. 1956
Author(s):  
Triwiyanto ◽  
Oyas Wahyunggoro ◽  
Hanung Adi Nugroho ◽  
Herianto
Keyword(s):  
Elbow Joint ◽  
Joint Angle ◽  
Angle Estimation

Muscle fatigue compensation of the electromyography signal for elbow joint angle estimation using adaptive feature

2018 ◽  
Vol 71 ◽  
pp. 284-293 ◽  
Author(s):  
Triwiyanto Triwiyanto ◽  
Oyas Wahyunggoro ◽  
H.A. Nugroho ◽  
Herianto Herianto
Keyword(s):  
Muscle Fatigue ◽  
Elbow Joint ◽  
Joint Angle ◽  
Angle Estimation

scholarly journals Effect of shoulder angle variation on sEMG-based elbow joint angle estimation

2018 ◽  
Vol 68 ◽  
pp. 280-289 ◽  
Author(s):  
Zhichuan Tang ◽  
Hongchun Yang ◽  
Lekai Zhang ◽  
Pengcheng Liu
Keyword(s):  
Elbow Joint ◽  
Joint Angle ◽  
Angle Variation ◽  
Angle Estimation ◽  
Shoulder Angle
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