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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Francois, D. Polani, D. Dautenhahn, K. |
| Copyright Year | 2008 |
| Description | Author affiliation: Adaptive Syst. Res. Group, Univ. of Hertfordshire, Hatfield (Francois, D.; Polani, D.; Dautenhahn, K.) |
| Abstract | Automatically detecting different styles of play in human-robot interaction is a key challenge towards adaptive robots, i.e. robots that are able to regulate the interactions and adapt to different interaction styles of the robot users. In this paper we present a novel algorithm for pattern recognition in human-robot interaction, the cascaded information bottleneck method. We apply it to real-time autonomous recognition of human-robot interaction styles. This method uses an information theoretic approach and enables to progressively extract relevant information from time series. It relies on a cascade of bottlenecks, the bottlenecks being trained one after the other according to the existing agglomerative information bottleneck algorithm. We show that a structure for the bottleneck states along the cascade emerges and we introduce a measure to extrapolate unseen data. We apply this method to real-time recognition of human-robot interaction styles by a robot in a detailed case study. The algorithm has been implemented for real interactions between humans and a real robot. We demonstrate that the algorithm, which is designed to operate real time, is capable of classifying interaction styles, with a good accuracy and a very acceptable delay. Our future work will evaluate this method in scenarios on robot-assisted therapy for children with autism. |
| Starting Page | 353 |
| Ending Page | 359 |
| File Size | 2974419 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424428212 |
| DOI | 10.1109/ICHR.2008.4756004 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-01 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | socially adaptive robots human-robot interaction Time series analysis Humanoid robots Human robot interaction Pattern recognition Cognitive robotics Robotics and automation Information analysis Autism Rehabilitation robotics Robot sensing systems robot-assisted play Socially interactive robots pattern recognition |
| Content Type | Text |
| Resource Type | Article |
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