Author(s)

Li Jian ¹, Wang Xin ²

Affiliation(s)

¹ Department of Information Technology, Beihua University, Jilin, China
² Department of Computing, Beihua University, Jilin, China

Corresponding Author

Li Jian

ABSTRACT

With the rapid development of information technology, intelligent gesture recognition technology has been widely applied in the field of human-computer interaction. This paper aims to design and implement an intelligent gesture recognition in-vehicle system based on OpenCV to enhance the safety and convenience during driving. The system captures the driver's gestures through a camera, processes the images using OpenCV, and combines machine learning algorithms to accurately recognize gestures, converting the recognition results into control commands for the on-board system. Experimental results indicate that the system can effectively recognize various gestures and accurately execute the corresponding control operations, demonstrating high practical value.

KEYWORDS

OpenCV; gesture recognition; on-board systems; Interactive

CITE THIS PAPER

Li Jian, Wang Xin, Design and Implementation of an Intelligent Gesture Recognition and In-Vehicle System Based on OpenCV. Advances in Computer, Signals and Systems (2025) Vol. 9: 14-20. DOI: http://dx.doi.org/10.23977/acss.2025.090103.

REFERENCES

[1] Lu Haihong, "Computer Measurement and Control," Xi'an University of Posts and Telecommunications, Institute of Internet of Things and Integration of Two Industries, 2015.  
[2] Zhu Wenwen, Ye Xining. "The Gesture Recognition Algorithm Based on a Convolutional Neural Network". Journal of East China University of Science and Technology (Natural Science Edition), 2018, (2). 
[3] Miao Qiguang, Li Yinan, Liu Xiangzeng, Liu Ruyi, "Gesture Recognition Technology Theory and Application," Xidian University Press, 2022. 
[4] Shen Yating, "Software Guide," Nanjing University of Science and Technology, Zijin College, Computer Science and Technology Department, 2019.

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