Feasibility Study on the Implementation of PostureSmart as an Artificial Intelligence-Based Body Posture Analysis System in Education and Sports

Abstract

This study aims to develop and evaluate the feasibility of PostureSmart, an Artificial Intelligence (AI) and Computer Vision-based posture analysis system designed to support posture screening and evaluation in the fields of education and sport. The study employs a Research and Development (R&D) approach comprising the stages of requirements analysis, design, system development, expert validation, product revision, and implementation feasibility testing. PostureSmart integrates image capture, body landmark detection, biomechanical parameter analysis, data storage, and digital presentation of results via a web-based platform. Product validation involved three experts comprising specialists in biomechanics, sports coaching, and information technology. Implementation feasibility was subsequently analysed using the TELOS framework, which covers Technical, Economic, Legal, Operational, and Schedule Feasibility. The research results show that PostureSmart achieved an expert validation feasibility rating of 93.0%, categorised as ‘highly feasible’. The biomechanics aspect received the highest score of 94.0%, followed by information technology at 93.0% and sports coaching at 92.0%. The TELOS analysis indicated an implementation feasibility rate of 92.4%, categorised as ‘highly feasible’, with the highest score of 95.0% in the ‘Schedule Feasibility’ category. The results indicate that PostureSmart is well-prepared from technical, economic, legal, operational and implementation perspectives. The system has the potential to serve as a technology that supports more objective, efficient and integrated posture assessment in the contexts of education and sport. Further research is required to test the system’s accuracy and effectiveness on a larger and more diverse sample.