Emotion Recognizing by a Robotic Solution Initiative (EMOTIVE Project).

Journal: Sensors (Basel, Switzerland)
Published Date:

Abstract

BACKGROUND: Emotion recognition skills are predicted to be fundamental features in social robots. Since facial detection and recognition algorithms are compute-intensive operations, it needs to identify methods that can parallelize the algorithmic operations for large-scale information exchange in real time. The study aims were to identify if traditional machine learning algorithms could be used to assess every user emotions separately, to relate emotion recognizing in two robotic modalities: static or motion robot, and to evaluate the acceptability and usability of assistive robot from an end-user point of view.

Authors

  • Grazia D'Onofrio
    2 Complex Unit of Geriatrics, Department of Medical Sciences, IRCCS "Casa Sollievo della Sofferenza," San Giovanni Rotondo, Foggia, Italy .
  • Laura Fiorini
    The BioRobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Pisa 56025, Italy. laura.fiorini@santannapisa.it.
  • Alessandra Sorrentino
    CNR-Italian National Research Council, Institute of Cognitive Sciences and Technologies , Rome, Italy .
  • Sergio Russo
    Information and Communication Technology, Innovation & Research Unit, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy.
  • Filomena Ciccone
    Clinical Psychology Service, Health Department, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy.
  • Francesco Giuliani
    4 ICT, Innovation & Research Unit, IRCCS "Casa Sollievo della Sofferenza," San Giovanni Rotondo, Foggia, Italy .
  • Daniele Sancarlo
    2 Complex Unit of Geriatrics, Department of Medical Sciences, IRCCS "Casa Sollievo della Sofferenza," San Giovanni Rotondo, Foggia, Italy .
  • Filippo Cavallo
    The BioRobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Pisa 56025, Italy. filippo.cavallo@santannapisa.it.