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Future Internet 2017, 9(3), 42; doi:10.3390/fi9030042

A Multimodal Perception Framework for Users Emotional State Assessment in Social Robotics

1
Research Center “E. Piaggio”, Faculty of Engineering, University of Pisa, 56122 Pisa, Italy
2
Department of Information Engineering, University of Pisa, 56122 Pisa, Italy
3
Department of Computer Science, University of Pisa, 56127 Pisa, Italy
*
Author to whom correspondence should be addressed.
Received: 20 June 2017 / Revised: 21 July 2017 / Accepted: 26 July 2017 / Published: 1 August 2017
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Abstract

In this work, we present an unobtrusive and non-invasive perception framework based on the synergy between two main acquisition systems: the Touch-Me Pad, consisting of two electronic patches for physiological signal extraction and processing; and the Scene Analyzer, a visual-auditory perception system specifically designed for the detection of social and emotional cues. It will be explained how the information extracted by this specific kind of framework is particularly suitable for social robotics applications and how the system has been conceived in order to be used in human-robot interaction scenarios. View Full-Text
Keywords: perception framework; physiological signal acquisition; multimodality; social robotics; human-robot interaction perception framework; physiological signal acquisition; multimodality; social robotics; human-robot interaction
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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).

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MDPI and ACS Style

Cominelli, L.; Carbonaro, N.; Mazzei, D.; Garofalo, R.; Tognetti, A.; De Rossi, D. A Multimodal Perception Framework for Users Emotional State Assessment in Social Robotics. Future Internet 2017, 9, 42.

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