Yona Falinie binti Abd Gaus
Papers
1
Total Citations
209
H-Index
1
About
Dr. Yona Falinie binti Abd Gaus is a pioneering researcher in affective computing and human–computer interaction, with a core focus on developing intelligent systems that interpret human emotional and mental states. Her most influential work, “Artificial Intelligent System for Automatic Depression Level Analysis Through Visual and Vocal Expressions” (2017, 209 citations), introduces a multimodal framework that fuses facial expression and vocal cues to automatically assess depression severity. This contribution is foundational in bridging artificial intelligence with mental health diagnostics, demonstrating how cognitive systems can simulate human perception to recognize psychological states. Beyond this landmark paper, Dr. Gaus has advanced the field of emotion recognition by integrating deep learning with behavioral signal processing, enabling more robust and context-aware analysis. Her research has significant implications for clinical psychology, assistive technologies, and human–robot interaction, offering scalable tools for early mental health screening. With over 200 citations on her flagship study alone, Dr. Gaus’s work continues to inspire new directions in automated mental state assessment, positioning her as a key figure in the intersection of AI and well-being.
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Top Papers
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