Ying-Hsun Lai

Papers

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About

Ying-Hsun Lai is a researcher at the forefront of integrating artificial intelligence and Internet of Things (IoT) technologies to address neurodevelopmental and behavioral health challenges. Her primary research areas include emotion recognition, ADHD behavior analysis, and data fusion techniques using thermal imaging and IoT devices. Lai’s most notable contribution is her pioneering work on using AI-driven perception technology to detect and improve ADHD-related behaviors in children. Her 2020 paper, "Data fusion analysis for attention‐deficit hyperactivity disorder emotion recognition with thermal image and Internet of Things devices," has garnered 18 citations, reflecting its impact on the intersection of affective computing and healthcare IoT. In this study, Lai demonstrated how combining thermal image data with IoT sensor inputs can enhance emotion recognition accuracy for individuals with ADHD, offering a non-invasive, real-time monitoring solution. Her follow-up work, "Improvement of ADHD Behaviors with AI Perception Technology" (9 citations), further explores practical interventions. Lai’s research holds significant promise for developing personalized, technology-assisted therapies, making her a key contributor to the emerging field of AI-enabled mental health support systems for children.