Contribution: Bo Zhou, et al.

TouchMe : Full-textile Touch Sensitive Skin for Encouraging Human-Robot Interaction

Bo Zhou1,2, Heber Zurian Cruz1,2, Seyed Reza Atefi3, Erik Billing4, Fernando Seoane3,5,6, and Paul Lukowicz1,2
1German Research Center for Artificial Intelligence, Kaiserslautern, 67663, Germany
2University of Kaiserslautern, Kaiserslautern, 67663, Germany
3Swedish School of Textiles, University of Bor°as, 50190, Bor°as, Sweden
4University of Sk¨ovde, Sk¨ovde, Sweden
5Inst. for Clinical Science, Intervention and Technology, Karolinska Institutet, 14186 Stockholm, Sweden
6Dept. Biomedical Engineering, Karolinska University Hospital, 14186 Stockholm, Sweden

In this paper, we developed a fully textile sensing fabric for tactile touch sensing as the robot skin to detect human-robot interactions. We defined seven gestures which are inspired by the interactions of typical people to people and pet scenarios. Through evaluation experiment with 5 participants, the machine learning algorithm can recognize the gesture with a 98% accuracy if the algorithm has encountered the person before, and 86:8% accuracy if the person is excluded in the training data.

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