5th International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

Eye tracking and pupil size variation as response to affective stimuli: a preliminary study

Download1017 downloads
  • @INPROCEEDINGS{10.4108/icst.pervasivehealth.2011.246056,
        author={Antonio Lanata and Antonino  Armato and Gaetano Valenza and Enzo Pasquale Scilingo},
        title={Eye tracking and pupil size variation as response to affective stimuli: a preliminary study},
        proceedings={5th International ICST Conference on Pervasive Computing Technologies for Healthcare},
        publisher={IEEE},
        proceedings_a={PERVASIVEHEALTH},
        year={2012},
        month={4},
        keywords={Eye tracking Affective computing Wearable system Pupil size variation Arousal states Emotional states},
        doi={10.4108/icst.pervasivehealth.2011.246056}
    }
    
  • Antonio Lanata
    Antonino Armato
    Gaetano Valenza
    Enzo Pasquale Scilingo
    Year: 2012
    Eye tracking and pupil size variation as response to affective stimuli: a preliminary study
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/icst.pervasivehealth.2011.246056
Antonio Lanata1,*, Antonino Armato1, Gaetano Valenza1, Enzo Pasquale Scilingo1
  • 1: Interdepartmental research centre "E.Piaggio"
*Contact email: a.lanata@centropiaggio.unipi.it

Abstract

Eye Gaze Trackers (EGTs) and pupil size variation are generally developed for scientific investigation in controlled environments or laboratories and data are used in several fields of application such as ophthalmology, neurology, or psychology, with the aim of studying oculomotor characteristics and abnormalities. Very often, the focus of these studies is the identification of cognitive and mental states. This preliminary work aims at investigating if eye tracking and pupil size variation can provide useful cues to discriminate emotional states induced by viewing images at different arousal content. Here we propose a new wearable and wireless EGT, hereinafter called HATCAM, able to robustly enable eye tracking and pupil area detection. Although very preliminary, results are very promising for affective computing applications.