Marco Del Coco
Papers
8
Total Citations
325
H-Index
6
About
Marco Del Coco’s research lies at the intersection of computer vision, social robotics, and assistive technology, with a particular focus on automatic emotion recognition and human-robot interaction for therapeutic applications. His most cited work, “Facial expression recognition and histograms of oriented gradients: a comprehensive study” (2015, 183 citations), systematically evaluates HOG descriptors for facial expression analysis, establishing a foundational methodology in the field. Del Coco’s pioneering contributions extend to autism spectrum disorder (ASD) intervention, where his 2015 study on “Automatic Emotion Recognition in Robot-Children Interaction for ASD Treatment” (69 citations) demonstrates how humanoid robots can recognize and respond to children’s emotional states during therapy. His 2017 work further explores mechanisms of social interaction stimulation using assisted humanoid robots (39 citations), showing measurable improvements in social engagement for children with ASD. Del Coco has also advanced soft biometrics—gender and age estimation—for socially assistive robotic platforms, enabling more natural and adaptive human-robot interactions. His research has been instrumental in bridging computer vision algorithms with real-world clinical applications, particularly in pediatric therapy. With over 300 total citations, Del Coco’s work continues to shape the development of emotionally intelligent robotic systems for vulnerable populations.
Research Focus
Key Achievements
Top Papers
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- 5Real-Time Gender Based Behavior System for Human-Robot Interaction9 citations · 2014
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- 7Soft Biometrics for a Socially Assistive Robotic Platform6 citations · 2015
- 8Features Descriptors for Demographic Estimation: A Comparative Study4 citations · 2014