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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.