Feature Extraction and Classification of Hand Movements Surface Electromyogram Signals Based on Multi-method Integration
Sign Up to like & getrecommendations! Published in 2018 at "Neural Processing Letters"
DOI: 10.1007/s11063-018-9862-0
Abstract: On the basis of analysing the characteristics of hand movement surface electrocardiogram electromyogram (sEMG) signals, we propose a feature extraction and classification method for hand movement sEMG signals based on a multi-method integration combining the… read more here.
Keywords: hand; classification; semg signals; hand movement ... See more keywords
Simulation of facial expressions using person-specific sEMG signals controlling a biomechanical face model
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Computer Assisted Radiology and Surgery"
DOI: 10.1007/s11548-017-1659-5
Abstract: PurposeFunctional inoperability in advanced oral cancer is difficult to assess preoperatively. To assess functions of lips and tongue, biomechanical models are required. Apart from adjusting generic models to individual anatomy, muscle activation patterns (MAPs) driving… read more here.
Keywords: movement; face model; model; hbox act ... See more keywords
Hand movement recognition from sEMG signals using Fourier decomposition method
Sign Up to like & getrecommendations! Published in 2021 at "Biocybernetics and Biomedical Engineering"
DOI: 10.1016/j.bbe.2021.03.004
Abstract: Abstract Surface electromyogram (sEMG) provides a non-invasive way to collect EMG signals. The sEMG signals acquired from the muscles of the forearm can be used to recognize the hand grasps and gestures. In this work,… read more here.
Keywords: using fourier; semg signals; method; hand ... See more keywords
Position-independent gesture recognition using sEMG signals via canonical correlation analysis
Sign Up to like & getrecommendations! Published in 2018 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2018.08.020
Abstract: Gesture recognition based on surface electromyogram (sEMG) signals has drawn significant attention and obtained satisfactory achievement in the field of human-computer interaction. However, the same gesture performed with different arm positions tends not to generate… read more here.
Keywords: gesture recognition; gesture; position independent; semg signals ... See more keywords
High-Fidelity sEMG Signals Recorded by an on-Skin Electrode Based on AgNWs for Hand Gesture Classification Using Machine Learning.
Sign Up to like & getrecommendations! Published in 2023 at "ACS applied materials & interfaces"
DOI: 10.1021/acsami.2c21354
Abstract: The human forearm is one of the most densely distributed parts of the human body, with the most irregular spatial distribution of muscles. A number of specific forearm muscles control hand motions. Acquiring high-fidelity sEMG… read more here.
Keywords: semg signals; skin; skin electrode; hand ... See more keywords
Elicitation hybrid spatial features from HD-sEMG signals for robust classification of gestures in real-time
Sign Up to like & getrecommendations! Published in 2021 at "Australian Journal of Electrical and Electronics Engineering"
DOI: 10.1080/1448837x.2021.1969729
Abstract: ABSTRACT Recently, using high-density surface electromyography (HD-sEMG) electrodes in prosthetics have outdone the challenges of electrodes sites on the muscle, while the high accuracy of HD-sEMG signals classification will improve prosthetics performance. A new concept… read more here.
Keywords: semg signals; real time; hybrid spatial; elicitation hybrid ... See more keywords
Recognition of Muscle Fatigue Status Based on Improved Wavelet Threshold and CNN-SVM
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3038422
Abstract: This study proposed a muscle fatigue classification method based on surface electromyography (sEMG) signals to achieve accurate muscle fatigue detection and classification. A total of 20 healthy young participants (14 men and 6 women) were… read more here.
Keywords: semg signals; improved wavelet; muscle; muscle fatigue ... See more keywords
A Gesture Recognition System Based on Time Domain Features and Linear Discriminant Analysis
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2018.2884942
Abstract: Surface electromyogram (sEMG) signals have been used to control multifunctional prosthetic hands. Researchers usually focused on the use of several channels with sEMG signals to identify more gestures without limiting the number of sEMG sensors.… read more here.
Keywords: semg signals; system; recognition system; domain features ... See more keywords
Enhanced Performance for Multi-Forearm Movement Decoding Using Hybrid IMU–sEMG Interface
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2019.00043
Abstract: Control of active prosthetic hands using surface electromyography (sEMG) signals is an active research area; despite the advances in sEMG pattern recognition and classification techniques, none of the commercially available prosthetic hands provide the user… read more here.
Keywords: enhanced performance; movement; position; performance ... See more keywords
Estimation of knee joint movement using single-channel sEMG signals with a feature-guided convolutional neural network
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2022.978014
Abstract: Estimating human motion intention, such as intent joint torque and movement, plays a crucial role in assistive robotics for ensuring efficient and safe human-robot interaction. For coupled human-robot systems, surface electromyography (sEMG) signal has been… read more here.
Keywords: semg signals; knee joint; semg; channel semg ... See more keywords