Experimental study of real-time classification of 17 voluntary movements for multi-degree myoelectric prosthetic hand
T Jiralerspong, E Nakanishi, C Liu, J Ishikawa - Applied sciences, 2017 - mdpi.com
Featured Application This work is intended for the development of myoelectric prosthetic
hand systems. Furthermore, the outcome of this study may also benefit other …
hand systems. Furthermore, the outcome of this study may also benefit other …
EMG-Based Hand Gestures Classification Using Machine Learning Algorithms
NG Nia, E Kaplanoglu, A Nasab - SoutheastCon 2023, 2023 - ieeexplore.ieee.org
Most chronic disorders in the human motor system occur due to functional defects in the
nervous system. In this regard, prostheses have been invented to help rehabilitate people …
nervous system. In this regard, prostheses have been invented to help rehabilitate people …
Leveraging ANN and LDA classifiers for characterizing different hand movements using emg signals
The analysis of electromyographic (EMG) signals has expedited the use of a wearable
prosthetic arm. To this end, pattern recognition-based myoelectric control schemes have …
prosthetic arm. To this end, pattern recognition-based myoelectric control schemes have …
Selection of suitable hand gestures for reliable myoelectric human computer interface
Background Myoelectric controlled prosthetic hand requires machine based identification of
hand gestures using surface electromyogram (sEMG) recorded from the forearm muscles …
hand gestures using surface electromyogram (sEMG) recorded from the forearm muscles …
Effect of analysis window and feature selection on classification of hand movements using EMG signal
Electromyography (EMG) signals have been successfully employed for driving prosthetic
limbs of a single or double degree of freedom. This principle works by using the amplitude of …
limbs of a single or double degree of freedom. This principle works by using the amplitude of …
Forearm orientation and contraction force independent method for EMG-based myoelectric prosthetic hand
R Rajapriya, K Rajeswari, D Joshi… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
An accurate and robust pattern recognition system is crucial for advanced electromyography-
based upper limb prosthetics. Variations in the user's forearm orientation and contraction …
based upper limb prosthetics. Variations in the user's forearm orientation and contraction …
Myoelectric feature extraction using temporal-spatial descriptors for multifunction prosthetic hand control
RN Khushaba, A Al-Timemy, A Al-Ani… - 2016 38th Annual …, 2016 - ieeexplore.ieee.org
We tackle the challenging problem of myoelectric prosthesis control with an improved
feature extraction algorithm. The proposed algorithm correlates a set of spectral moments …
feature extraction algorithm. The proposed algorithm correlates a set of spectral moments …
Simple and computationally efficient movement classification approach for EMG-controlled prosthetic hand: ANFIS vs. artificial neural network
H Jahani Fariman, SA Ahmad… - … Automation & Soft …, 2015 - Taylor & Francis
The aim of this paper is to propose an exploratory study on simple, accurate and
computationally efficient movement classification technique for prosthetic hand application …
computationally efficient movement classification technique for prosthetic hand application …
Improving the recognition of grips and movements of the hand using myoelectric signals
Background People want to live independently, but too often disabilities or advanced age
robs them of the ability to do the necessary activities of daily living (ADLs). Finding …
robs them of the ability to do the necessary activities of daily living (ADLs). Finding …
Real-time classification of multi-modal sensory data for prosthetic hand control
Recent work on myoelectric prosthetic control has shown that the incorporation of
accelerometry information along with surface electromyography (sEMG) has the potential of …
accelerometry information along with surface electromyography (sEMG) has the potential of …