Papers
2
Total Citations
7
H-Index
2
About
N. Xu is an emerging researcher whose work sits at the intersection of artificial intelligence, human-robot interaction, and eldercare technology. Specializing in emotion recognition and affective computing, Xu has made meaningful contributions to the development of intelligent systems designed to support the growing global aging population. A central focus of Xu's research involves deploying deep learning and transfer learning techniques to create care models that are both sensitive and adaptive to the nuanced emotional expressions of older adults — a demographic frequently underserved by conventional AI systems. Xu's most notable work introduces a comprehensive care framework for service robots that integrates sentiment analysis with knowledge reasoning, achieving a remarkable 96.5% accuracy in emotion recognition — a substantial leap beyond baseline models. Complementing this, Xu has pioneered multi-modal emotion recognition systems that leverage transfer learning to better accommodate the unique expressive characteristics of elderly individuals, directly addressing a critical gap in existing technology. Though early in citation accumulation, with leading papers already attracting attention within the research community in 2025, Xu's scholarship signals a promising trajectory. Students and practitioners working in assistive robotics, gerontechnology, or affective AI will find Xu's contributions both technically rigorous and deeply human-centered in their motivation.
Research Focus
Key Achievements
Top Papers
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