Cargando…
Locomotion Mode Recognition for Walking on Three Terrains Based on sEMG of Lower Limb and Back Muscles
Gait phase detection on different terrains is an essential procedure for amputees with a lower limb assistive device to restore walking ability. In the present study, the intent recognition of gait events on three terrains based on sEMG was presented. The class separability and robustness of time, f...
Autores principales: | Zhou, Hui, Yang, Dandan, Li, Zhengyi, Zhou, Dao, Gao, Junfeng, Guan, Jinan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122478/ https://www.ncbi.nlm.nih.gov/pubmed/33922081 http://dx.doi.org/10.3390/s21092933 |
Ejemplares similares
-
Fusion Learning for sEMG Recognition of Multiple Upper-Limb Rehabilitation Movements
por: Zhong, Tianyang, et al.
Publicado: (2021) -
Voiceless Bangla vowel recognition using sEMG signal
por: Mostafa, S. S., et al.
Publicado: (2016) -
sEMG-Based Motion Recognition of Upper Limb Rehabilitation Using the Improved Yolo-v4 Algorithm
por: Bu, Dongdong, et al.
Publicado: (2022) -
sEMG dataset of routine activities
por: Khan, Asad Mansoor, et al.
Publicado: (2020) -
Gaussian Process Autoregression for Joint Angle Prediction Based on sEMG Signals
por: Liang, Jie, et al.
Publicado: (2021)