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

Lorenzo Cominelli, Nicola Carbonaro, Daniele Mazzei, Roberto Garofalo, Alessandro Tognetti and Danilo De Rossi
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Lorenzo Cominelli: Research Center “E. Piaggio”, Faculty of Engineering, University of Pisa, 56122 Pisa, Italy
Nicola Carbonaro: Research Center “E. Piaggio”, Faculty of Engineering, University of Pisa, 56122 Pisa, Italy
Daniele Mazzei: Research Center “E. Piaggio”, Faculty of Engineering, University of Pisa, 56122 Pisa, Italy
Roberto Garofalo: Research Center “E. Piaggio”, Faculty of Engineering, University of Pisa, 56122 Pisa, Italy
Alessandro Tognetti: Research Center “E. Piaggio”, Faculty of Engineering, University of Pisa, 56122 Pisa, Italy
Danilo De Rossi: Research Center “E. Piaggio”, Faculty of Engineering, University of Pisa, 56122 Pisa, Italy

Future Internet, 2017, vol. 9, issue 3, 1-17

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.

Keywords: perception framework; physiological signal acquisition; multimodality; social robotics; human-robot interaction (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2017
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