Jui Hua Lui

Papers

Total Citations

H-Index

About

Jui Hua Lui is a pioneering researcher in affective robotics and human-robot interaction, with a focus on developing socially intelligent systems that respond to human emotions. Their most cited work introduces an "affective mood booster robot" equipped with an emotional processing unit that detects basic emotions through visual and audio sensors, enabling personalized companionship and mood regulation. This innovative system, cited 19 times, demonstrates Lui’s commitment to creating robots that enhance human well-being through empathetic interaction. In a related survey, Lui explores image processing techniques—including fuzzy logic, image fusion, neural networks, and non-local means—to improve robot perception in noisy environments, a critical step for reliable social robotics. With a total of 24 citations across their top papers, Lui’s contributions bridge artificial intelligence, sensor fusion, and emotional computing, laying groundwork for assistive robots in healthcare and daily life. Their work stands out for integrating real-time emotional feedback with robust visual processing, advancing the field toward more natural and supportive human-robot relationships.