Proceedings of the 2025 International Conference on Electronics, Electrical and Grid Technology (ICEEGT 2025)

<Previous Article In Volume
Next Article In Volume>

The Design of Gesture Recognition-Based Mecanum-wheeled Vehicle

Authors
Zhouhan Tang1, *
1School of Information Science and Engineering, Harbin Institute of Technology, 264209, Weihai City, Shandong Province, China
*Corresponding author. Email: 2023211386@stu.hit.edu.cn
Corresponding Author
Zhouhan Tang
Available Online 18 February 2026.
DOI
10.2991/978-94-6463-986-5_28How to use a DOI?
Keywords
Mecanum-wheeled car; gesture recognition; Mediapipe; contactless control
Abstract

In the context of the rapid development of intelligent robot interaction technology, traditional remote-control methods have problems such as complex operation and poor interactivity. This study proposes a gesture-controlled Mecanum wheel car design based on the Mediapipe framework. Mediapipe is used to capture the key points of the hand in real time, and gesture recognition is performed by comparing the coordinates of the key points to achieve six command controls such as forward, backward, and in-place turning. A computer camera is used to capture images and perform gesture recognition, a Wi-Fi module is used to communicate with the car, and an ESP32 microcontroller is used to build the car’s main control system and motor drive circuit. The test results show that the system can accurately recognize gesture commands within the same Wi-Fi range, the car responds quickly and can flexibly complete omnidirectional movement. The research results provide an intuitive and natural solution for human-computer interaction of intelligent cars and have application potential in scenarios such as robot control and educational demonstrations.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2025 International Conference on Electronics, Electrical and Grid Technology (ICEEGT 2025)
Series
Advances in Engineering Research
Publication Date
18 February 2026
ISBN
978-94-6463-986-5
ISSN
2352-5401
DOI
10.2991/978-94-6463-986-5_28How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Zhouhan Tang
PY  - 2026
DA  - 2026/02/18
TI  - The Design of Gesture Recognition-Based Mecanum-wheeled Vehicle
BT  - Proceedings of the 2025 International Conference on Electronics, Electrical and Grid Technology (ICEEGT 2025)
PB  - Atlantis Press
SP  - 257
EP  - 267
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-986-5_28
DO  - 10.2991/978-94-6463-986-5_28
ID  - Tang2026
ER  -