Year: 2025
Type: article
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.
Authors: Resmi Omanakuttan, Preethi Thomas
Language: English
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4409650764