Gesture-Controlled Bionic Hand for Safe Handling of Biomedical Industrial Chemicals

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 microcontroller to decode 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.

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Publication Details

Published
2025-11-07
DOI
https://doi.org/10.3390/ecsa-12-26577
Primary Topic
Hand Gesture Recognition Systems
Type
article
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Gesture-Controlled Bionic Hand for Safe Handling of Biomedical Industrial Chemicals

Hand Gesture Recognition Systems
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Gesture-Controlled Bionic Hand for Safe Handling of Biomedical Industrial Chemicals

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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 microcontroller to decode 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.

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN), SRM Dental College (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 37%
Hand Gesture Recognition Systems
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