Home // GLOBAL HEALTH 2012, The First International Conference on Global Health Challenges // View article
Authors:
Nicola Carbonaro
Alberto Greco
Gaetano Anania
Gabriele Dalle Mura
Alessandro Tognetti
Enzo Pasquale Scilingo
Danilo De Rossi
Antonio LanatÃ
Keywords: Gesture; electrodermal activity; affective recognition; textile-based systems; signal processing; features extraction; statistics;
Abstract:
This study proposes an integrated wireless wearable system, that provides relevant information on gesture and electrodermal responses for affective communication investigations. The system is designed to be comfortable and unobtrusive to be used in immersive virtual realities as well as in actual scenarios in order to acquire implicit and explicit affective information. The system is comprised of a glove where textile electrodes, deformation sensors, and an inertial motion unit are integrated. The glove simultaneously acquires electrodermal activity and gesture, providing pre-elaborated signals that will be used for feature extraction purpose in emotion recognition filed. Preliminary results are reliable and promising for the complete integration of affective motion and physiological signal contents. This prototype is useful to investigate how humans perceive and produce affective interactions. Moreover, this prototype could be used for designing novel emotional models based on high-level and largely-comprehensive affective information.
Pages: 88 to 92
Copyright: Copyright (c) IARIA, 2012
Publication date: October 21, 2012
Published in: conference
ISSN: 2308-4553
ISBN: 978-1-61208-243-1
Location: Venice, Italy
Dates: from October 21, 2012 to October 26, 2012