MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641050873 A) filed by Srinivasa Ramanujan Institute Of Technology; Dr. G. Balakrishna; Dr. M. L. Ravi Chandra; M Rajeswari; B Vijay Kumar; and K Seema Sadiya, Ananthapuramu, Andhra Pradesh, on April 21, for 'smart prosthetic hand controlled by force signals.'
Inventor(s) include Srinivasa Ramanujan Institute Technology; Dr. G. Balakrishna; Dr. M. L. Ravi Chandra; M Rajeswari; B Vijay Kumar; and K Seema Sadiya.
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 discloses a smart prosthetic hand controlled by force signals for restoring grasping functionality in individuals with upper-limb loss. The system integrates force sensing, embedded signal processing, and servo-based actuation to achieve adaptive and proportional finger movement. Force sensing resistors mounted at the fingertips detect contact pressure during object interaction. The resistance variation is converted into an analog voltage through a voltage divider circuit and digitized using the analog-to-digital converter of an embedded microcontroller, preferably an Arduino UNO.The processed force data are continuously compared with predefined grip thresholds in a closed-loop control algorithm. Based on this comparison, pulse width modulation signals are generated to drive independent servo motors controlling each finger. The system dynamically regulates finger position to maintain stable grasping force, thereby preventing object slippage and avoiding excessive pressure. Independent multi-finger actuation improves dexterity and enables natural flexion and extension movements.The prosthetic hand employs a regulated power supply architecture and includes an LCD module for real-time force monitoring and system status display. Experimental evaluation demonstrates effective grip force measurement and regulation with minimal force error. The modular design also supports optional integration with electromyographic (EMG) intention detection for hybrid control. Compared to conventional mechanical and threshold-based myoelectric systems, the invention offers improved safety, stability, affordability, and usability, providing a compact and cost-effective assistive solution for prosthetic applications."
Disclaimer: Curated by HT Syndication.
