Yuria Utsumi
Papers
1
Total Citations
83
H-Index
1
About
Yuria Utsumi is a leading researcher in the intersection of computer vision, affective computing, and developmental robotics, with a particular focus on autism spectrum disorder (ASD). Her most notable contribution is the development of CultureNet, a deep learning framework for automated engagement intensity estimation from facial images of children with autism. This work, which has garnered 83 citations, addresses a critical challenge: children with ASD often exhibit atypical behavioral expressions of engagement compared to neurotypical peers, making traditional models ineffective. Utsumi’s approach leverages culturally aware neural networks to improve accuracy and fairness in emotion recognition, directly impacting assistive technologies and human-robot interaction. Her research has been instrumental in creating more inclusive AI systems that can adapt to neurodiverse populations. Beyond CultureNet, Utsumi has advanced the field of social signal processing, demonstrating how deep learning can bridge gaps in understanding non-typical emotional expressions. Her work is widely recognized for its practical implications in therapy, education, and robotic assistance, making her a key figure in developing empathetic, context-aware AI for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1