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Finger Movement Regression with Myoelectric Signal and Deep Neural Network
(Proceeding ICOMITEE 2019, October 16th-17th 2019, Jember, Indonesia, 2019-10-16)
Research on electromyographic (EMG) signals is
intensively carried out to help disabled people to control
prosthetic hands. Neural Networks have been widely used in
research on the classification of finger movements ...
Hierarchical Algorithm for the Identification of Parameter Estimation of Linear System
(2019-05-24)
A novel technique to identification of autoregressive
moving average (ARMA)systems is proposed to increase the
accuracy and speed of convergence for the system identification.
The convergence speed of recursive least ...
The Design of a Low-Cost Therapy Robot for Hand Rehabilitation of a Post-Stroke Patient
(2019-05-24)
A robot technology has been proven effective in
recovering a post-stroke patient. However, the existing
commercial robot therapy is expensive so that it cannot be
afforded by the majority of people in developing and ...
Comparison of EEG Pattern Recognition of Motor Imagery for Finger Movement Classification
(Institute of Advanced Engineering and Science (IAES), 2019, 2019-09-18)
The detection of a hand movement beforehand
can be a beneficent tool to control a prosthetic hand for upper
extremity rehabilitation. To be able to achieve smooth control,
the intention detection is acquired from the ...