A Wireless Self-Powered Sensor Network Based on Dual-Model Convolutional Neural Network Algorithm for Tennis Sports
Author:
Affiliation:
1. School of Physical Education, Pingdingshan University, Pingdingshan, China
2. School of Physical Education, Guangzhou Sport University, Guangzhou, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10251409/10071992.pdf?arnumber=10071992
Reference20 articles.
1. Bone asymmetries in the limbs of children tennis players: testing the combined effects of age, sex, training time, and maturity status
2. Light-Weight, Self-Powered Sensor Based on Triboelectric Nanogenerator for Big Data Analytics in Sports
3. Tennis ball as a factor in the initial tennis training of junior high school (12-year-old) students;tomov;Physical Education and Sport,2021
4. Design and validation of a tennis tool to control on-court technical and tactical training content
5. Sport-Specific Differences in Power–Velocity–Force Profiling during Trunk Rotations at Different Loads
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