MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202641100583 A) filed by Saveetha Institute Of Medical And Technical Sciences on August 20, 2026, for Sensory Feedback System For Gait Training.
Inventors include Ms. S. Umabharathi; Dr. R. Arangasamy; and Dr Ramya Mohan.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: SENSORY FEEDBACK SYSTEM FOR GAIT TRAINING ABSTRACT Gait impairments caused by neurological disorders, musculoskeletal injuries, or age-related decline often reduce mobility and independence. Conventional gait rehabilitation typically relies on visual observation and therapist guidance, which can limit precision and patient engagement. This project presents a Sensory Feedb_a c k System for Gait Training designed to enhance motor learning through real-time, multimodal feedback. The system integrates wearable sensors such as inertial measurement units (IMUs), pressure sensors, and motion trackers to capture spatial temporal gait parameters including stride length, cadence, foot placement, and weight distribution. A processing module analyzes the data in real time and provides intuitive feedback via vibrotactile cues, auditory signals, or visual displays to inform users of deviations from optimal gait patterns. Experimental evaluation demonstrates that sensory feedback promotes improved gait symmetry, increased step consistency, and faster correction of abnormal movement patterns. The system is portable, adaptable to various populations, and supports both clinical and home-based training. Overall, this sensory feedback approach offers a promising tool for enhancing rehabilitation outcomes and supporting long-term gait improvement. The proposed system employs wearable sensors, including inertial measurement units (IMUs), force or pressure sensors, and joint angle sensors, to capture key spatiotemporal and kinematic gait parameters such as step length, cadence, walking speed, stanceto- swing ratio, joint motion, and foot pressure distribution. These parameters are continuously analyzed and compared with predefined normative data or individualized therapeutic targets
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