Posturesense - A Predictive Health Insight from Behavioural Analysis

Resmi Omanakuttan, Preethi Thomas

Abstract: This innovative system employs advanced behavior analysis and computer vision to non-invasively monitor semployees in sedentary roles, identifying posture-related health risks. By analyzing real-time video data, it detects deviations in movement patterns and predicts issues such as musculoskeletal disorders, spinal misalignment, and muscle fatigue. Early detection allows for timely intervention, helping to prevent long-term health complications and chronic pain. As a result, employees can maintain better physical well-being, leading to improved performance and productivity at work.

Keywords: posturesense, behavior analysis, ergonomic assessment, musculoskeletal disorder, CNN approach