Intellectual Property India Publishes Patent Application for 'Development Of AI Enabled Wireless Head Eye And Voice Controlled Smart Wheelchair For Physically Challenged' Filed by Dr. S. Omkumar; Dr. R. Govindarajan; Dr. T. Dinesh Kumar; Dr. M. A. Archana; Dr. T. Lakshmibai; and Dr. R. Sivaramakrishnan

MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202541125820 A) filed by Dr. S. Omkumar; Dr. R. Govindarajan; Dr. T. Dinesh Kumar; Dr. M. A. Archana; Dr. T. Lakshmibai; and Dr. R. Sivaramakrishnan, Tamil Nadu, on Dec. 12, 2025, for 'development of ai enabled wireless head eye and voice controlled smart wheelchair for physically challenged.'

Inventor(s) include Dr. S. Omkumar; Dr. R. Govindarajan; Dr. T. Dinesh Kumar; Dr. M. A. Archana; Dr. T. Lakshmibai; and Dr. R. Sivaramakrishnan.

The application for the patent was published on Feb. 13, under issue no. 07/2026.

According to the abstract released by the Intellectual Property India: "Mobility is one of the most significant challenges faced by quadriplegic and severely disabled persons who are unable to use their hands or legs to operate traditional wheelchairs. Although joystick-controlled and sensor-based intelligent wheelchairs exist, they are either expensive or too complex for widespread adoption. This project proposes the development of an Alenabled wireless smart wheelchair controlled through head tilt, eye blink, and voice commands. The system employs low-cost MEMS-based ti!t sensors, IR eye-blink detection, and a lightweight voice recognition module for multimodal control. Commands are wirelessly transmitted via ESP32/Biuetooth Low Energy to the wheelchair, where an Al-assisted processing unit ensures reliable ge.sture recognition and avoids false triggers. The wheelchair 15 is further equipped with obstacle detection, emergency stop, and caregiver override features to enhance safety. A lightweight mechanical chassis made of aluminum alloy supports up to 120 kg load capacity; driven by DG geared-motors for-efficient-torque transmission. The- -integration of loT connectivity enables real-time monitoring of wheelchair status and health parameters through a smartphone companion app. This design aims to deliver an affordable, 20 user-friendly, and scalable solution for restoring independent mobility to the physically challenged population."

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