Affective Computing has emerged as an important field of study that aims to develop systems that can automatically recognize emotions. Up to the present, elicitation has been carried out with non-immersive stimuli. This study, on the other hand, aims to develop an emotion recognition system for affective states evoked through Immersive Virtual Environments. Four alternative virtual rooms were designed to elicit four possible arousal-valence combinations, as described in each quadrant of the Circumplex Model of Affects. An experiment involving the recording of the electroencephalography (EEG) and electrocardiography (ECG) of sixty participants was carried out. A set of features was extracted from these signals using various state-of-the-art metrics that quantify brain and cardiovascular linear and nonlinear dynamics, which were input into a Support Vector Machine classifier to predict the subject’s arousal and valence perception. The model’s accuracy was 75.00% along the arousal dimension and 71.21% along the valence dimension. Our findings validate the use of Immersive Virtual Environments to elicit and automatically recognize different emotional states from neural and cardiac dynamics; this development could have novel applications in fields as diverse as Architecture, Health, Education and Videogames.


    Access

    Download


    Export, share and cite



    Title :

    Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors



    Publication date :

    2018-01-01



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



    Virtual reality facial emotion recognition in social environments:An eye-tracking study

    Geraets, C.N.W. / Klein Tuente, S. / Lestestuiver, B.P. et al. | BASE | 2021

    Free access


    Deep human activity recognition using wearable sensors

    Lawal, IA / Bano, S | BASE | 2019

    Free access

    Designing for a Wearable Affective Interface for the NAO Robot : A Study of Emotion Conveyance by Touch

    Lowe, Robert / Andreasson, Rebecca / Alenljung, Beatrice et al. | BASE | 2018

    Free access

    AFFECTIVE COMPUTING [Panel]

    Hudlicka, E. / McNeese, M. / Healy, J. et al. | British Library Conference Proceedings | 1999