A Novel EMG-Based Hand Gesture Recognition Framework Based on Multivariate Variational Mode Decomposition
Surface electromyography (sEMG) is a kind of biological signal that records muscle activity noninvasively, which is of great significance in advanced human-computer interaction, prosthetic control, clinical therapy, and biomechanics. However, the number of hand gestures that can be recognized is lim...
Enregistré dans:
Auteurs principaux: | Kun Yang, Manjin Xu, Xiaotong Yang, Runhuai Yang, Yueming Chen |
---|---|
Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/8e6f7afe8d1346c99716328529116b03 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Finger Gesture Recognition Using Sensing and Classification of Surface Electromyography Signals With High-Precision Wireless Surface Electromyography Sensors
par: Jianting Fu, et autres
Publié: (2021) -
A Review of the Hand Gesture Recognition System: Current Progress and Future Directions
par: Noraini Mohamed, et autres
Publié: (2021) -
Skeleton Joints Moment (SJM): A Hand Gesture Dimensionality Reduction for Central Nervous System Interaction
par: Zainal Abdul Kahar, et autres
Publié: (2021) -
Elements Influencing sEMG-Based Gesture Decoding: Muscle Fatigue, Forearm Angle and Acquisition Time
par: Zengyu Qing, et autres
Publié: (2021) -
High Density Surface Electromyography Activity of the Lumbar Erector Spinae Muscles and Comfort/Discomfort Assessment in Piano Players: Comparison of Two Chairs
par: Alejandra Aranceta-Garza, et autres
Publié: (2021)