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Conference Paper
Building an Automated Engagement Recognizer based on Video Analysis
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- Authors
- Minsu Jang, Cheonshu Park, Hyun-Seung Yang
- Issue Date
- 2014-03
- Citation
- International Conference on Human-Robot Interaction (HRI) 2014, pp.182-183
- Language
- English
- Type
- Conference Paper
- Abstract
- This paper presents a process to build a classifier in a data-driven way for recognizing engagement of children in a robot- based math quiz game. The process consists of collecting video recordings from HRI experiments; annotating the social signals and engagement states via video analysis; extracting feature vectors from the annotations and training classifiers. We conducted an experiment with 7 participants of 10 ~ 11 years of age using an android robot EveR-4. With three coders annotating the video recordings and extracting features by snapshot model with 1-second time window, we achieved 84.83% recall performance.
- KSP Keywords
- Data-Driven, Feature Vector, Quiz game, Social Signals, Time window, Video recording, android robot, video analysis