Chia‐Wei Tsai

Papers

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About

Chia-Wei Tsai is a researcher at the forefront of integrating Internet of Things (IoT) technologies with affective computing and neurodevelopmental disorder diagnostics. Her primary research areas include emotion recognition, thermal imaging analysis, and data fusion techniques for healthcare applications. Tsai’s most impactful contribution is her pioneering work on developing a data fusion framework that combines thermal image data with IoT sensor inputs to detect emotional states in children with attention-deficit hyperactivity disorder (ADHD). Her 2020 paper on this topic, which has garnered 18 citations, demonstrates how multimodal data—including physiological signals and thermal facial patterns—can be fused to improve emotion recognition accuracy, offering a non-invasive, scalable tool for monitoring behavioral and emotional challenges in clinical and educational settings. This work addresses a critical gap in ADHD management, where early detection of emotional dysregulation can enhance social integration and learning outcomes. Tsai’s research exemplifies the convergence of smart sensing, machine learning, and pediatric mental health, positioning her as a key innovator in IoT-driven personalized healthcare.