MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049528 A) filed by Karthi Nallasivam; Mr. M. Anand; Mr. P. Balaji; Mr. R. Sambasivam; Ms. J. Swathi; Mrs. P. Kalaiselvi; Mr. M. Michael Jones; Mr. M. Muthukumaran; Mr. Mukesh S; and Mr. Mohammed Iliyas M, Erode, Tamil Nadu, on April 18, for 'myoelectric prosthetic arm.'
Inventor(s) include Karthi Nallasivam; Mr. M. Anand; Mr. P. Balaji; Mr. R. Sambasivam; Ms. J. Swathi; Mrs. P. Kalaiselvi; Mr. M. Michael Jones; Mr. M. Muthukumaran; Mr. Mukesh S; and Mr. Mohammed Iliyas M.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an intelligent biomedical assistive system, specifically an AI-Enabled Myoelectric Prosthetic Arm Control System designed to improve functional mobility, precision control, and user adaptability for upper-limb amputees. In conventional prosthetic systems, control is often limited, non-intuitive, and dependent on mechanical switches or basic EMG thresholding, leading to reduced accuracy and user comfort. This invention introduces a cost-effective and intelligent prosthetic solution that integrates EMG-based signal acquisition, microcontroller-based control, servo-driven actuation, and AI-based gesture recognition. Surface electromyography (EMG) sensors capture muscle activity signals from the user, which are processed and interpreted using an AI model to identify intended movements such as hand open, close, or specific grip patterns. Upon recognizing the user's intent, the system generates control signals to actuate servo motors that drive the prosthetic fingers and joints with precision. The system also includes an IoT-based monitoring platform that enables real-time tracking of usage data, performance metrics, and calibration settings through a web interface, supporting adaptive and personalized prosthetic control."
Disclaimer: Curated by HT Syndication.
