Yang‐Yen Ou
Papers
5
Total Citations
25
H-Index
4
About
Yang‐Yen Ou is a researcher at the forefront of integrating computer vision and artificial intelligence into robotics, with a focus on creating more intuitive and human-centric machines. His work spans human activity recognition, facial analysis, and natural language processing, all aimed at enhancing the visual and cognitive abilities of home and service robots. Ou’s major contributions include developing a VQ-HMM classifier for 3D skeleton-based activity recognition using Kinect sensors, which enables robots to understand human behavior in domestic settings. He also pioneered an automatic prescription recognition system for pharmacy robotics, helping to automate medical text identification. In the realm of identity and emotion, Ou proposed an integrated vision system for simultaneous emotion understanding and identity confirmation, as well as a deep CNN architecture for efficient multi-person, multi-angle face recognition. More recently, he has advanced Mandarin-language AI with a robot system capable of handling phonetic transcription and reading comprehension. With over 25 citations across his most influential works, Ou’s research is steadily building a foundation for more perceptive, emotionally aware, and linguistically capable robots, bridging the gap between human needs and machine intelligence.
Research Focus
Key Achievements
Top Papers
- 1VQ-HMM classifier for human activity recognition based on R-GBD sensor8 citations · 2017
- 2Automatic Prescription Recognition System6 citations · 2018
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