EventsThe 12th International Electronic Conference on Sensors and Applications
Published
This submission belongs to the session S8. Robotics, Sensors, and Industry 4.0 of the event The 12th International Electronic Conference on Sensors and Applications
Published date
07 Nov, 2025
Academic Editor
author-avatarFrancisco Falcone
Citation
GLEN NITISH, DANIEL FORD, SUDARSUN G, Dr. Thiyam Deepa Beeta, Shelishiyah R, Gesture-Controlled Bionic Hand for Safe Handling of Biomedical Industrial Chemicals, in Proceedings of The 12th International Electronic Conference on Sensors and Applications, 12 November–14 November 2025, MDPI: Basel, Switzerland, doi: 10.3390/ECSA-12-26577
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Gesture-Controlled Bionic Hand for Safe Handling of Biomedical Industrial Chemicals

1. BIOMEDICAL ENGINEERING, VEL TECH UNIVERSITY, AVADI, India
2. ASSOCIATE PROFESSOR, BIOMEDICAL ENGINEERING , VELTECH UNIVERSITY, AVADI, India
3. SRM Institute of Science and Technology - Ramapuram Campus., India
Abstract

In pharmaceutical and biomedical industries, manual handling of dangerous chemicals is a leading cause of hazardous exposure to chemicals, toxic burning, and chemical contamination. To counteract these risks, we proposed a gesture-controlled bionic hand system to mimic human finger movements for safe and contactless chemical handling. This innovation system uses an ESP32 micro controller decodes the hand gestures that are detected by the system using computer vision via an integrated camera. A PWM servo driver converts these movements to motor commands such that accurate movements of the fingers can be achieved. Teflon and other corrosion-proof materials are utilized in the 3D printing of the bionic hand in order to withstand corrosive conditions. This new, low-cost, and non-surgical approach replaces the EMG sensors, gives real-time control, and enhances industrial and laboratory process safety. The project is a major milestone in the application of robotics and AI for automation and risk reduction in dangerous environments.

Keywords
Gesture-controlled bionic hand
hazardous chemical handling
ESP32 microcontroller
computer vision
OpenCV
real-time gesture recognition
PWM servo control
chemically resistant materials
pharmaceutical safety
biomedical automation.
Manuscript
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