Zhijie He

University of Science and Technology Beijing

Papers

Total Citations

H-Index

About

Zhijie He is a leading researcher at the intersection of affective computing, human-robot interaction, and smart home technologies, with a particular focus on assistive robotics for the elderly. His most cited work, "Cognitive emotion model for eldercare robot in smart home" (2015, 31 citations), introduces a groundbreaking computational framework that enables eldercare robots to perceive and respond to human emotions in real-world domestic environments. By integrating Gabor filters, Local Binary Pattern (LBP) algorithms, and k-Nearest Neighbor (KNN) classifiers, He developed a robust system for facial expression recognition that allows robots to adapt their behavior based on the emotional state of elderly users. This work represents a significant advance in making assistive technologies more empathetic and context-aware, directly addressing the growing need for intelligent care solutions in aging societies. He's research has been instrumental in bridging the gap between raw sensor data and meaningful emotional interpretation, laying the groundwork for more natural and effective human-robot collaboration in smart home settings. His contributions continue to influence the development of socially assistive robots that can provide both physical and emotional support to vulnerable populations.