Convolutional Neural Network-Based Human Movement Recognition Algorithm in Sports Analysis
In order to analyse the sports psychology of athletes and to identify the psychology of athletes in their movements, a human action recognition (HAR) algorithm has been designed in this study. First, a HAR model is established based on the convolutional neural network (CNN) to classify the current a...
Main Author: | Jiatian Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-06-01
|
Series: | Frontiers in Psychology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2021.663359/full |
Similar Items
-
Artificial Intelligence Image Recognition Method Based on Convolutional Neural Network Algorithm
by: Youhui Tian
Published: (2020-01-01) -
Human Face Recognition Using Convolutional Neural Networks
by: Răzvan-Daniel Albu
Published: (2009-10-01) -
Deep-Aligned Convolutional Neural Network for Skeleton-Based Action Recognition and Segmentation
by: Babak Hosseini, et al.
Published: (2020-05-01) -
Action Recognition Using Attention-Joints Graph Convolutional Neural Networks
by: Tasweer Ahmad, et al.
Published: (2020-01-01) -
Optimizing Spatiotemporal Feature Learning in 3D Convolutional Neural Networks With Pooling Blocks
by: Rockson Agyeman, et al.
Published: (2021-01-01)