Cargando…
Return Strategy and Machine Learning Optimization of Tennis Sports Robot for Human Motion Recognition
At present, there are many kinds of intelligent training equipment in tennis sports, but they all need human control. If a single tennis player uses the robot to return the ball, it will save some human resources. This study aims to improve the recognition rate of tennis sports robots in the return...
Autores principales: | Wang, Yuxuan, Yang, Xiaoming, Wang, Lili, Hong, Zheng, Zou, Wenjun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9097601/ https://www.ncbi.nlm.nih.gov/pubmed/35574231 http://dx.doi.org/10.3389/fnbot.2022.857595 |
Ejemplares similares
-
Intention understanding over T: a neuroimaging study on shared representations and tennis return predictions
por: Cacioppo, Stephanie, et al.
Publicado: (2014) -
Applying Deep Learning-Based Human Motion Recognition System in Sports Competition
por: Zhang, Liangliang
Publicado: (2022) -
Humanoid Robot Cooperative Motion Control Based on Optimal Parameterization
por: Zhong, Qiubo, et al.
Publicado: (2021) -
Review of adaptive control for stroke lower limb exoskeleton rehabilitation robot based on motion intention recognition
por: Su, Dongnan, et al.
Publicado: (2023) -
Target Recognition of Industrial Robots Using Machine Vision in 5G Environment
por: Jin, Zhenkun, et al.
Publicado: (2021)