MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202621061277 A) filed by Pune Vidyarthi Griha'S College Of Engineering, Technology And Management, Pune on May 14, 2026, for Advanced Glove For Arm Rehabilitation..
Inventors include Dr. Shilpa Ramchandra Litake; Radha Saurabh Hardikar; Aarya Rahul Gandhe; Avani Mangesh Thakur; and Niyati Nitin Jadhav.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: The present invention relates to a wearable assistive glove for intuitive muscle-controlled hand assistance. It consists of a Muscle BioAmp Patchy sEMG sensor (201) to detect muscle activity from the forearm, and the signals are amplified, filtered, and processed by a microcontroller to control the semi-3D printed prosthetic glove. The bio-amplifier and filtering unit amplifies low-voltage sEMG signals, and a compact microcontroller is integrated for signal interfacing, basic processing, and wireless data communication as well as a semi-3D printed prosthetic glove performs hand movements based on the control commands. A small vibration is generated by haptic feedback module when the prosthetic glove grasps an object. It has session-based Motor (304) recovery progression tracking system that transforms the assistive device into a clinical data instrument. The threshold-based gesture recognition compares processed muscle signals with predefined values to detect user action for hand movement. An adaptive battery consumption feature incorporated to adjust power usage based on system activity to improve battery life and efficiency. The magnetic (109) modular subsystem architecture enables design and implementation of individually detachable and re-attachable magnetic (109) subsystems within the prosthetic glove. It incorporates multiple sensors that are arranged at different points on the glove to improve accuracy of data collection as well as the stabilization mechanism to reduce the effect of hand tremors during operation. It is a portable and cost-effective solution and supports the recovery of the motor-based functions in the stroke patients (Figure 1).
Disclaimer: Curated by HT Syndication.
