A Key Skeleton Points Guided Classroom Action Recognition Method Based on Multimodal Symmetry Fusion

A Key Skeleton Points Guided Classroom Action Recognition Method Based on Multimodal Symmetry Fusion

Recently, there has been growing interest in utilizing skeleton data for human action recognition due to its compact size and ability to capture action characteristics effectively. However, in complex classroom scenarios, student actions encounter challenges such as high inter-class similarity, diff...

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Bibliographic Details
Main Authors: Zefang Chen, Yang Gao, Qiuyan Yan
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Action recognition
multimodal
skeleton data
classroom action
Online Access:https://ieeexplore.ieee.org/document/10475333/

Internet

https://ieeexplore.ieee.org/document/10475333/

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