Haibao Chen
Papers
2
Total Citations
12
H-Index
2
About
Haibao Chen is a researcher dedicated to leveraging artificial intelligence and robotics to improve the quality of life for the elderly, particularly those living alone. His work sits at the intersection of deep learning, emotion recognition, and human-robot interaction, addressing the pressing global challenge of an aging population. Chen’s most impactful contribution, *Emotion Recognition of the Elderly Living Alone Based on Deep Learning* (2021, 10 citations), proposes a smart home care solution that uses IoT sensors and deep learning algorithms to detect and interpret the emotional states of solitary seniors, enabling timely, empathetic responses. This foundational work tackles a critical gap in home-based care by moving beyond simple activity monitoring to understanding emotional well-being. Additionally, his paper *A Framework of Social Robot for Elderly Individuals* (2019, 2 citations) introduces a perceptive social robot designed to assist healthcare professionals, offering a preliminary framework for robots that can perceive and react to human cues. Through these contributions, Chen is pioneering technologies that promise more compassionate, responsive, and autonomous care for the world’s rapidly growing elderly population.
Research Focus
Key Achievements
Top Papers
- 1Emotion Recognition of the Elderly Living Alone Based on Deep Learning10 citations · 2021
- 2A Framework of Social Robot for Elderly individuals2 citations · 2019