sEMG-Based Gesture Recognition Using Deep Learning From Noisy Labels
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3179630
Abstract: Gesture recognition for myoelectric prosthesis control utilizing sparse multichannel surface Electromyography (sEMG) is a challenging task, and from a Muscle-Computer Interface (MCI) standpoint, the performance is still far from optimal. However, the design of a… read more here.
Keywords: recognition; semg based; recognition using; gesture recognition ... See more keywords
sEMG-Based Minimally Supervised Regression Using Soft-DTW Neural Networks for Robot Hand Grasping Control
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3193247
Abstract: One of the major challenges in robotics consists in developing successful control strategies for robotic grasping devices. In this scenario, one of the most interesting approaches regards the exploitation of surface electromyography(sEMG). In this work,… read more here.
Keywords: semg based; soft dtw; regression; control ... See more keywords
SeNic: An Open Source Dataset for sEMG-Based Gesture Recognition in Non-Ideal Conditions
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3173708
Abstract: In order to reduce the gap between the laboratory environment and actual use in daily life of human-machine interaction based on surface electromyogram (sEMG) intent recognition, this paper presents a benchmark dataset of sEMG in… read more here.
Keywords: recognition; non ideal; semg based; ideal conditions ... See more keywords
SEMG Based Classification Using Wavelet Function for Around Shoulder Muscles
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Engineering Science and Technology Review"
DOI: 10.25103/jestr.104.15
Abstract: The wavelet transform is the accurate, efficient and effective method to improve the quality of the myoelectric signal before use in prosthetic device for transhumeral amputees. Classification of the signal from upper limb using Surface… read more here.
Keywords: semg based; using wavelet; based classification; shoulder ... See more keywords
The Muscle Fatigue’s Effects on the sEMG-Based Gait Phase Classification: An Experimental Study and a Novel Training Strategy
Sign Up to like & getrecommendations! Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11093821
Abstract: Surface Electromyography (sEMG) enables an intuitive control of wearable robots. The muscle fatigue-induced changes of sEMG signals might limit the long-term usage of the sEMG-based control algorithms. This paper presents the performance deterioration of sEMG-based… read more here.
Keywords: training strategy; semg based; fatigue; muscle fatigue ... See more keywords