Textile Pressure Mapping Sensor for Emotional Touch Detection in Human-Robot Interaction
German Research Center for Artificial Intelligence, 67663 Kaiserslautern, Germany
Department Computer Science, University of Kaiserslautern, 67663 Kaiserslautern, Germany
Swedish School of Textiles, University of Borås, 50190 Borås, Sweden
School of Informatics, University of Skövde, 54128 Skövde, Sweden
Institute for Clinical Science, Intervention and Technology, Karolinska Institutet, 17177 Stockholm, Sweden
Department Biomedical Engineering, Karolinska University Hospital, 14186 Stockholm, Sweden
Author to whom correspondence should be addressed.
Received: 30 September 2017 / Revised: 1 November 2017 / Accepted: 6 November 2017 / Published: 9 November 2017
In this paper, we developed a fully textile sensing fabric for tactile touch sensing as the robot skin to detect human-robot interactions. The sensor covers a 20-by-20 cm
area with 400 sensitive points and samples at 50 Hz per point. We defined seven gestures which are inspired by the social and emotional interactions of typical people to people or pet scenarios. We conducted two groups of mutually blinded experiments, involving 29 participants in total. The data processing algorithm first reduces the spatial complexity to frame descriptors, and temporal features are calculated through basic statistical representations and wavelet analysis. Various classifiers are evaluated and the feature calculation algorithms are analyzed in details to determine each stage and segments’ contribution. The best performing feature-classifier combination can recognize the gestures with a
accuracy from a known group of participants, and
This is an open access article distributed under the Creative Commons Attribution License
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
Share & Cite This Article
MDPI and ACS Style
Zhou, B.; Altamirano, C.A.V.; Zurian, H.C.; Atefi, S.R.; Billing, E.; Martinez, F.S.; Lukowicz, P. Textile Pressure Mapping Sensor for Emotional Touch Detection in Human-Robot Interaction. Sensors 2017, 17, 2585.
Zhou B, Altamirano CAV, Zurian HC, Atefi SR, Billing E, Martinez FS, Lukowicz P. Textile Pressure Mapping Sensor for Emotional Touch Detection in Human-Robot Interaction. Sensors. 2017; 17(11):2585.
Zhou, Bo; Altamirano, Carlos A.V.; Zurian, Heber C.; Atefi, Seyed R.; Billing, Erik; Martinez, Fernando S.; Lukowicz, Paul. 2017. "Textile Pressure Mapping Sensor for Emotional Touch Detection in Human-Robot Interaction." Sensors 17, no. 11: 2585.
Show more citation formats
Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
[Return to top]
For more information on the journal statistics, click here
Multiple requests from the same IP address are counted as one view.