Ronald Poppe
Papers
7
Total Citations
191
H-Index
6
About
Ronald Poppe is a leading researcher in social signal processing and human-robot interaction, with a focus on how machines can understand and respond to human nonverbal behavior. His work bridges computer vision, psychology, and robotics to enable more natural human-machine communication. Poppe’s major contributions include pioneering the automatic recognition of social touch gestures through the creation of the CoST (Corpus of Social Touch) dataset, which contains over 7,800 captures of 14 distinct touch gestures—a foundational resource that has garnered 50+ citations. He has also advanced proxemics in human-robot interaction, studying cultural differences in how robots should approach groups (64 citations), and developed models for gaze behavior in dyadic interactions. His research extends to egocentric video analysis for location and activity classification, using deep learning methods like CNNs and LSTMs. With a career spanning over a decade, Poppe’s work has been cited more than 200 times, reflecting its impact on both academic research and practical applications in assistive robotics and social computing.
Research Focus
Key Achievements
Top Papers
- 1
- 2Touching the Void -- Introducing CoST50 citations · 2014
- 3Automatic recognition of touch gestures in the corpus of social touch47 citations · 2016
- 4
- 5Automatic Analysis of Bodily Social Signals8 citations · 2017
- 6
- 7