Research on Multi-Scale Spatio-Temporal Graph Convolutional Human Behavior Recognition Method Incorporating Multi-Granularity Features

Research on Multi-Scale Spatio-Temporal Graph Convolutional Human Behavior Recognition Method Incorporating Multi-Granularity Features

Aiming at the problem that the existing human skeleton behavior recognition methods are insensitive to human local movements and show inaccurate recognition in distinguishing similar behaviors, a multi-scale spatio-temporal graph convolution method incorporating multi-granularity features is propose...

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Bibliographic Details
Main Authors: Yulin Wang, Tao Song, Yichen Yang, Zheng Hong
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Sensors
Subjects:
graph convolutional network
behavior recognition
multi-granularity
bias weighting
Online Access:https://www.mdpi.com/1424-8220/24/23/7595
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