Xie XIE

Papers

1

Total Citations

4

H-Index

1

About

Xie Xie is a researcher whose work lies at the intersection of human-robot interaction, affective computing, and smart home technologies for elderly care. Their most cited paper, "Cognitive Emotion Model for Eldercare Robot in Smart Home" (2015, 4 citations), introduces a novel cognitive emotional model that enables eldercare robots to recognize and respond to human emotions in domestic environments. By integrating Gabor filters, Local Binary Pattern (LBP) algorithms, and k-Nearest Neighbor (KNN) classifiers, Xie developed a system capable of extracting and interpreting facial emotional features in real time. This contribution addresses a critical gap in assistive robotics—endowing machines with the ability to perceive and adapt to the emotional states of older adults, thereby enhancing their quality of life and autonomy. Though their citation count is modest, Xie’s work is foundational for researchers exploring emotionally intelligent robots in healthcare settings. Their approach combines computer vision, machine learning, and cognitive modeling, offering a practical framework for deploying socially aware robots in smart homes. Xie’s research continues to inspire efforts toward more empathetic and responsive human-robot interaction systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Cognitive Emotion Model for Eldercare Robot in Smart Home
4 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 8

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago