Dynamic gesture recognition using surface EMG signals based on multi-stream residual network
Z Yang, D Jiang, Y Sun, B Tao, X Tong… - … in Bioengineering and …, 2021 - frontiersin.org
Gesture recognition technology is widely used in the flexible and precise control of
manipulators in the assisted medical field. Our MResLSTM algorithm can effectively perform …
manipulators in the assisted medical field. Our MResLSTM algorithm can effectively perform …
Classification of 41 hand and wrist movements via surface electromyogram using deep neural network
P Sri-Iesaranusorn, A Chaiyaroj, C Buekban… - … in bioengineering and …, 2021 - frontiersin.org
Surface electromyography (sEMG) is a non-invasive and straightforward way to allow the
user to actively control the prosthesis. However, results reported by previous studies on …
user to actively control the prosthesis. However, results reported by previous studies on …
Evaluation and implementation of High-Dimensionnal Computing for gesture recognition using sEMG signals
A Salerno, S Barraud - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
In the past few years, the emergence of artificial intelligence combined with the surface
electromyography (sEMG) paved the way to the development of smart and wearable …
electromyography (sEMG) paved the way to the development of smart and wearable …
Performance comparison of different classifiers applied to gesture recognition from sEMG signals
BG Sgambato, G Castellano - Brazilian Congress on Biomedical …, 2020 - Springer
In the last years, surface electromyography (sEMG) has become a hot spot for research on
signal classification methods due to its many applications with consumer grade sensors …
signal classification methods due to its many applications with consumer grade sensors …
Application of Wavelet Decomposition and Ma-Chine Learning for the sEMG Signal Based Ges-Ture Recognition
HR Fatayerji, M Saeed, SM Qaisar, A Alqurashi… - Advances in Non …, 2023 - Springer
The amputees throughout the world have limited access to the high-quality intelligent
prostheses. The correct recognition of gestures is one of the most difficult tasks in the context …
prostheses. The correct recognition of gestures is one of the most difficult tasks in the context …
Anwendung von Wavelet-Zerlegung und maschinellem Lernen für die sEMG-Signalbasierte Gestenerkennung
HR Fatayerji, M Saeed, SM Qaisar, A Alqurashi… - Fortschritte in der nicht …, 2024 - Springer
Amputierte auf der ganzen Welt haben begrenzten Zugang zu hochwertigen intelligenten
Prothesen. Die korrekte Erkennung von Gesten ist eine der schwierigsten Aufgaben im …
Prothesen. Die korrekte Erkennung von Gesten ist eine der schwierigsten Aufgaben im …
Research on User Experience Quality Evaluation Method of Internet of Vehicles Based on sEMG Signal
J Cheng, Y An, P Cui, K Zhang - International Conference on Simulation …, 2020 - Springer
In recent years, with the rapid development of Internet of vehicles, service providers and
operators need to constantly upgrade and optimize their related services (communication …
operators need to constantly upgrade and optimize their related services (communication …