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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM42695
Volume:
9 |
3 |
Mar 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
â T Robotic arm control has traditionally relied on mechanical input methods such as joysticks or coding commands. However, gesture recognition provides an intuitive alternative, especially in environments where direct control might be challenging. This paper explores the use of Mediapipe for gesture recognition to control robotic arm movements in real-time. By integrating gesture recognition with robotic systems, we can enhance user interaction, making robotic arms more accessible for users without extensive training.
KEYWORDS
Publication Date
3/20/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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