Cargando…
Bicycling Phase Recognition for Lower Limb Amputees Using Support Vector Machine Optimized by Particle Swarm Optimization
A novel method for recognizing the phases in bicycling of lower limb amputees using support vector machine (SVM) optimized by particle swarm optimization (PSO) is proposed in this paper. The method is essential for enhanced prosthetic knee joint control for lower limb amputees in carrying out bicycl...
Autores principales: | Li, Xinxin, Liu, Zuojun, Gao, Xinzhi, Zhang, Jie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7696493/ https://www.ncbi.nlm.nih.gov/pubmed/33203169 http://dx.doi.org/10.3390/s20226533 |
Ejemplares similares
-
Support Vector Machine Based on Adaptive Acceleration Particle Swarm Optimization
por: Abdulameer, Mohammed Hasan, et al.
Publicado: (2014) -
Prediction of Skin Sensitization with a Particle Swarm Optimized Support Vector Machine
por: Yuan, Hua, et al.
Publicado: (2009) -
Cancer Classification Based on Support Vector Machine Optimized by Particle Swarm Optimization and Artificial Bee Colony
por: Gao, Lingyun, et al.
Publicado: (2017) -
Classification of Motor Imagery EEG Signals with Support Vector Machines and Particle Swarm Optimization
por: Ma, Yuliang, et al.
Publicado: (2016) -
Multidimensional particle swarm optimization for machine learning and pattern recognition
por: Kiranyaz, Serkan, et al.
Publicado: (2013)