MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641068725 A) filed by Dr. Nilesh Shyamkant Ingole; and Dr. Atul Gangadharrao Bijwe on June 01, 2026, for Biomechanical Movement Analysis System For Sports Education.
Inventors include Dr. Nilesh Shyamkant Ingole; and Dr. Atul Gangadharrao Bijwe.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: ABSTRACT Biomechanical Movement Analysis System for Sports Education The present invention relates to a Biomechanical Movement Analysis System for Sports Education designed to enhance athletic training, injury prevention, and performance evaluation through intelligent motion tracking and analytical technologies. The system integrates wearable sensors, computer vision modules, inertial measurement units (IMUs), pressure-sensitive platforms, and artificial intelligence algorithms to capture, process, and analyze human body movements in real time during sports activities. The invention is particularly intended for educational institutions, sports academies, rehabilitation centers, and professional training facilities where accurate biomechanical assessment is essential for improving skill development and physical conditioning. The proposed system continuously records parameters such as joint angles, limb acceleration, body posture, stride length, balance distribution, muscle movement coordination, and kinetic force patterns while athletes perform sports-specific actions including running, jumping, throwing, kicking, and swinging. The collected data are transmitted to a cloud-based analytical engine that compares athlete movements with predefined optimal biomechanical models and generates instant feedback, corrective recommendations, and visual motion simulations for coaches and learners. The invention further includes machine learning algorithms capable of identifying inefficient movement patterns, fatigue indicators, and injury-prone actions, thereby enabling preventive intervention and personalized training programs. A user-friendly interface provides dashboards, three-dimensional skeletal visualizations, and performance reports accessible through mobile and web applications. The system supports multi-sport adaptability and can be integrated with virtual reality or augmented reality educational platforms to create immersive sports learning environments. By combining biomechanics, sensor technology, and intelligent analytics, the invention significantly improves sports education quality, athlete performance optimization, and scientific coaching methodologies while reducing dependency on manual observation and subjective judgment.
Disclaimer: Curated by HT Syndication.
