Assessing the Effectiveness of AIoT-based Posture Recognition and Guidance System

This project aims to develop a universal posture recognition and guidance system using Artificial Intelligence of Things (AIoT) and evaluate the effectiveness of the proposed design based on quantitative and qualiative assessment. This project will develop a comprehensive posture guidance system that can seamlessly monitor the user's posture through daily activities or sports activities and provide guidance in real-time to improve the posture. Despite the prevalance of posture recognition system, majority of the conventional schemes can only track a single activity, whereas the proposed method aims to develop a universal posture recognition system that can track not only static, indore, daily activities, but also dynamic, outdoor, sports activities. The proposed system will be composed of a frontend mobile application, wearable IoT sensors, machine learning based gesture recognition algorithm and audio-based posture guidance.