• Arvind S
• Sankaragomathi B
• Manju M
• Vijayalakshmi M
• Sujeeth K

This design presents an innovative approach to gait analysis for individualities with osteoarthritis by using IoT technologies. The study integrates data from 9- axis Inertial Measurement Unit (IMU) sensors, Force- Sensitive Resistor (FSR) sensors, and Electromyography (EMG) sensors to completely anatomize gait dynamics. IMU sensors capture three- dimensional stir, FSR sensors measure ground response forces, and EMG sensors record muscle activation patterns. The data from these sensors are accompanied and integrated using advanced algorithms to reveal intricate connections between common kinematics, ground response forces, and muscle exertion during walking. Actors suffer gait analysis under various conditions, including normal walking and different pets, to pretend real- world scripts. The design aims to contribute precious perceptivity into the biomechanical differences associated with osteoarthritis and THA, furnishing a foundation for farther effective existent and rehabilitative strategies. The proposed methodology showcases the eventuality of IoT- predicated gait analysis in advancing our understanding of musculoskeletal conditions and enhancing patient care.

Gait Dynamics, IoT, Sensors, Kinematics, Osteoarthritis, THA

"Examining gait dynamics through the utilization of motion and EMG sensors.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.g321-g326, March-2024, Available :http://www.jetir.org/papers/JETIR2403645.pdf

"Examining gait dynamics through the utilization of motion and EMG sensors.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppg321-g326, March-2024, Available at : http://www.jetir.org/papers/JETIR2403645.pdf