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

Project: Research

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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 qualitative assessment. This project will develop a comprehensive posture guidance system that can seamlessly monitor the user’s posture through daily activities or sports activities (e.g., sitting, walking, running posture recognition or yoga, dancing posture training) and provide guidance in real-time to improve the posture. Despite the prevalence 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, indoor, 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. 


Project number7020083
Grant typeSIRG
Effective start/end date1/04/23 → …