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Conference Paper
Building Datasets for Training Robots’ Social Intelligence
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- Authors
- Minsu Jang, Do Hyung Kim, Jaeyeon Lee, Jaehong Kim
- Issue Date
- 2018-11
- Citation
- International Conference on Social Robotics (ICSR) 2018: Workshop, pp.1-3
- Language
- English
- Type
- Conference Paper
- Abstract
- Project AIR (Artificial Intelligence for Robots) aims to build software modules that can mimic human social intelligence based on machine learning. In this paper, we provide specifications of various datasets we identified as being valuable for training social intelligence. Datasets for lip-reading, speech and affect recognition, human tracking, action recognition, gesture generation are being collected in the labs, test beds and living labs in the domain of elderly people’s life care. We describe details of the datasets and how they can be used. We believe these datasets will contribute to the advancement of machine learning techniques for developing social robots and social intelligence.
- KSP Keywords
- Action recognition, Affect recognition, Gesture generation, Human Tracking, Living Lab, Machine Learning technique(MLT), Social Intelligence, Test-bed, artificial intelligence, elderly people, lip-reading