Research on Application of Gesture Interaction Technology Based on Computer Vision

The application of gesture recognition technology based on computer vision in the field of human-computer interaction is analyzed. A hierarchical design idea of gesture interaction system based on computer vision is proposed. A new idea for judging the bending state of the finger is provided, and the bending state of the finger is used as a gesture feature to realize gesture classification, the application example vividly show that application field of gesture interaction. It is verified that the gesture interaction technology based on computer vision has the advantages of low hardware requirements, and natural and intuitive interaction experience. In order to expand the application scenario of gesture interaction technology.

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Publication Details

Published
2025-04-25
DOI
https://doi.org/10.1109/iccea65460.2025.11103077
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on Application of Gesture Interaction Technology Based on Computer Vision

Li Wang, Chunshui Wang, Li Lan, Yanchun Wang et al.
Hand Gesture Recognition Systems
article

Research on Application of Gesture Interaction Technology Based on Computer Vision

Li Wang, Chunshui Wang, Li Lan, Yanchun Wang, J. Cheng
article en

Abstract

The application of gesture recognition technology based on computer vision in the field of human-computer interaction is analyzed. A hierarchical design idea of gesture interaction system based on computer vision is proposed. A new idea for judging the bending state of the finger is provided, and the bending state of the finger is used as a gesture feature to realize gesture classification, the application example vividly show that application field of gesture interaction. It is verified that the gesture interaction technology based on computer vision has the advantages of low hardware requirements, and natural and intuitive interaction experience. In order to expand the application scenario of gesture interaction technology.

Anhui Sanlian University (CN), Xi’an Jiaotong-Liverpool University (CN)
Openalex Percentile: Top 80%
Hand Gesture Recognition Systems
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