Myoelectric prosthetic hand can be controlled by using surface electromyography (sEMG). In this paper, two sEMG signals were collected from forearm to classify five hand motions using radial basis function (RBF) neural network. Our experimental results demonstrate that the highest average classification accuracy was 93 % achieved using RBF based on root mean square (RMS), auto regressive model (AR), and energy of wavelet coefficients (WAVELET) combination
The myoelectric prosthetic hand is a powerful tool developed to help people with upper limb loss res...
The myoelectric prosthetic hand is a powerful tool developed to help people with upper limb loss res...
This paper presents the development of artificial neural networks (ANN) as pattern recognition syste...
Abstract: Myoelectric prosthetic hand can be controlled by using surface electromyography (sEMG). In...
Electromyography (EMG) is the study of electrical signals produced by the movement of muscles in the...
Electromyography (EMG) is the study of electrical signals produced by the movement of muscles in the...
AbstractThe strength of the muscle contraction can be easily measured by the muscle activity extract...
One of the methods of artificial hand prosthesis control is the use of a surface electromyogram sign...
The research in Neuro-Prosthetics is gaining more significance and popularity as the advancement in ...
This paper presents the classification of EMG signal for multiple hand gestures based on neural netw...
Surface electromyography is a technique of analyzing muscle functions through signals emanating from...
AbstractThis work identifies the human forearm kinematics in real time by utilizing the surface elec...
Electromyography (EMG) also referred to as the Myoelectric, is a biomedical signal acquired from ske...
This research proposes an exploratory study of a simple, accurate, and computationally efficient mov...
The skeletal muscle activation generates electric signals called myoelectric signals. In recent year...
The myoelectric prosthetic hand is a powerful tool developed to help people with upper limb loss res...
The myoelectric prosthetic hand is a powerful tool developed to help people with upper limb loss res...
This paper presents the development of artificial neural networks (ANN) as pattern recognition syste...
Abstract: Myoelectric prosthetic hand can be controlled by using surface electromyography (sEMG). In...
Electromyography (EMG) is the study of electrical signals produced by the movement of muscles in the...
Electromyography (EMG) is the study of electrical signals produced by the movement of muscles in the...
AbstractThe strength of the muscle contraction can be easily measured by the muscle activity extract...
One of the methods of artificial hand prosthesis control is the use of a surface electromyogram sign...
The research in Neuro-Prosthetics is gaining more significance and popularity as the advancement in ...
This paper presents the classification of EMG signal for multiple hand gestures based on neural netw...
Surface electromyography is a technique of analyzing muscle functions through signals emanating from...
AbstractThis work identifies the human forearm kinematics in real time by utilizing the surface elec...
Electromyography (EMG) also referred to as the Myoelectric, is a biomedical signal acquired from ske...
This research proposes an exploratory study of a simple, accurate, and computationally efficient mov...
The skeletal muscle activation generates electric signals called myoelectric signals. In recent year...
The myoelectric prosthetic hand is a powerful tool developed to help people with upper limb loss res...
The myoelectric prosthetic hand is a powerful tool developed to help people with upper limb loss res...
This paper presents the development of artificial neural networks (ANN) as pattern recognition syste...
Add to ORKG