BridgeHealth: a Compassionate System for Emotion Understanding and Pain Detection

Chee, Kean Lok (2025) BridgeHealth: a Compassionate System for Emotion Understanding and Pain Detection. Final Year Project (Bachelor), Tunku Abdul Rahman University of Management and Technology.

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Abstract

BridgeHealth is a software application designed to address the emotional, physical, and communicative needs of individuals facing communication difficulties, such as those with autism spectrum disorder (ASD) or other developmental disorders. Recognising the significant challenges these individuals face in expressing themselves and managing their health, BridgeHealth aims to enhance their quality of life and well-being. The application includes features like analysing facial expressions, body language, and physiological signals using machine learning and image analysis techniques. By employing sophisticated tools, BridgeHealth accurately interprets users' emotions and detects pain indicators, facilitating more effective communication and health management strategies. The system undergoes rigorous testing for accuracy in emotion recognition, pain detection, usability for individuals with communication difficulties, and overall reliability. While it demonstrates high accuracy and potential to improve empathy and support in healthcare settings, there remain opportunities for refining algorithms for specific user groups, ultimately striving to enhance the well-being of those with communication challenges.