MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641017001 A) filed by Sri Krishna College Of Engineering And Technology, Coimbatore, Tamil Nadu, on Feb. 16, for 'a deep learning-based hand gesture recognition system for communication assistance in stroke patients.'
Inventor(s) include Ms. R. Kalaivani; and Dr. C. P. Maheswaran.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a deep learning-based hand gesture detection and recognition system for assisting communication of stroke patients with speech and motor impairments. Hand gestures (10) performed by a stroke patient (12) are captured using a camera module (14) and processed by an image preprocessing module (20) to enhance image quality. The preprocessed images are analyzed by a deep learning gesture recognition model (22) to extract discriminative features, which are classified by a gesture classification unit (24) into predefined communication gestures. The recognized gestures are converted into readable text displayed on a text output display (30) and/or synthesized speech generated by a speech output module (32) for communication to a caregiver (34). The system operates in real time, does not require wearable sensors, and provides a low-cost, portable, and accurate assistive communication solution suitable for hospitals, rehabilitation centers, and home-care environments."
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