Cargando…
Comparison of sEMG-Based Feature Extraction and Motion Classification Methods for Upper-Limb Movement
The surface electromyography (sEMG) technique is proposed for muscle activation detection and intuitive control of prostheses or robot arms. Motion recognition is widely used to map sEMG signals to the target motions. One of the main factors preventing the implementation of this kind of method for r...
Autores principales: | Guo, Shuxiang, Pang, Muye, Gao, Baofeng, Hirata, Hideyuki, Ishihara, Hidenori |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4431272/ https://www.ncbi.nlm.nih.gov/pubmed/25894941 http://dx.doi.org/10.3390/s150409022 |
Ejemplares similares
-
Evaluation of Feature Extraction and Classification for Lower Limb Motion Based on sEMG Signal
por: Qin, Pengjie, et al.
Publicado: (2020) -
Electromyography-Based Quantitative Representation Method for Upper-Limb Elbow Joint Angle in Sagittal Plane
por: Pang, Muye, et al.
Publicado: (2015) -
sEMG-Based Motion Recognition of Upper Limb Rehabilitation Using the Improved Yolo-v4 Algorithm
por: Bu, Dongdong, et al.
Publicado: (2022) -
A motion-classification strategy based on sEMG-EEG signal combination for upper-limb amputees
por: Li, Xiangxin, et al.
Publicado: (2017) -
Fusion Learning for sEMG Recognition of Multiple Upper-Limb Rehabilitation Movements
por: Zhong, Tianyang, et al.
Publicado: (2021)