Douglas Funayama
Papers
1
Total Citations
53
H-Index
1
About
Douglas Funayama is a researcher at the intersection of affective computing, human-robot interaction, and computer vision. His key contributions center on developing multimodal sensing systems that enable robots to perceive and respond to human emotional states, particularly in child-robot interaction (CRI). His most cited work, "Visual and Thermal Image Processing for Facial Specific Landmark Detection to Infer Emotions in a Child-Robot Interaction" (2019, 53 citations), pioneers the fusion of visual (RGB) and infrared thermal imaging (IRTI) to detect emotional cues in children—a challenging domain due to the subtlety and variability of children’s expressions. By integrating the Viola-Jones algorithm for facial landmark detection with thermal patterns, Funayama’s system enhances emotion recognition robustness, addressing limitations of single-modality approaches. This work has significant implications for educational robotics, therapeutic interventions, and assistive technologies, where understanding a child’s emotional state is critical. Funayama’s research demonstrates how combining thermal and visual data can overcome occlusion and lighting challenges, advancing the field of socially aware robotics. His contributions highlight the potential of affective computing to create more empathetic and responsive autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1