Q08 : BackTracker: A Real-time Multimodal Biomechanical Posture Detection and Correction System


Students Betty Luo
School HDSB - Munn's Public School - Oakville
Level Junior 7/8 - Grade 8
Group Group 2 - Engineering and Computing I
Abstract BackTracker is a real-time multimodal innovation designed to detect and correct poor posture of students during daily activities. The system integrates two components: an AI-based webcam visual analysis system and a wearable jacket integrating flex sensors and threshold-based logic to measure spinal curvature. Both implementations apply biomechanical and kinesiological principles to translate posture data into instant real-time feedback, supporting posture awareness and reducing musculoskeletal risks.