Shih Che Chou
Papers
1
Total Citations
4
H-Index
1
About
Shih Che Chou is a researcher whose work lies at the intersection of computer vision and human-robot interaction, with a particular focus on age classification from appearance images. His most-cited paper, "Human age classification using appearance images for human-robot interaction" (2013, 4 citations), introduces a method that leverages facial features to estimate human age, aiming to enhance the responsiveness and social intelligence of robots. Chou’s key contribution is demonstrating that craniology-based facial features are not sufficiently discriminative for this task, instead proposing alternative appearance-based approaches that improve classification accuracy. This work addresses a growing need in modern applications where robots must adapt their behavior based on user demographics. While his citation count is modest, Chou’s research is notable for its practical orientation toward real-world human-robot interaction scenarios, laying groundwork for more socially aware robotic systems. His contributions are particularly relevant for students and researchers exploring how machines can perceive and respond to human attributes in naturalistic settings.
Research Focus
Key Achievements
Top Papers
- 1