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Revealing Real-Time Emotional Responses: a Personalized Assessment based on Heartbeat Dynamics

Valenza, G and Citi, L and Lanatá, A and Scilingo, EP and Barbieri, R (2014) 'Revealing Real-Time Emotional Responses: a Personalized Assessment based on Heartbeat Dynamics.' Scientific Reports, 4. ISSN 2045-2322

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Abstract

Emotion recognition through computational modeling and analysis of physiological signals has been widely investigated in the last decade. Most of the proposed emotion recognition systems require relatively long-time series of multivariate records and do not provide accurate real-time characterizations using short-time series. To overcome these limitations, we propose a novel personalized probabilistic framework able to characterize the emotional state of a subject through the analysis of heartbeat dynamics exclusively. The study includes thirty subjects presented with a set of standardized images gathered from the international affective picture system, alternating levels of arousal and valence. Due to the intrinsic nonlinearity and nonstationarity of the RR interval series, a specific point-process model was devised for instantaneous identification considering autoregressive nonlinearities up to the third-order according to the Wiener-Volterra representation, thus tracking very fast stimulus-response changes. Features from the instantaneous spectrum and bispectrum, as well as the dominant Lyapunov exponent, were extracted and considered as input features to a support vector machine for classification. Results, estimating emotions each 10 seconds, achieve an overall accuracy in recognizing four emotional states based on the circumplex model of affect of 79.29%, with 79.15% on the valence axis, and 83.55% on the arousal axis.

Item Type: Article
Uncontrolled Keywords: Applied mathematics, Biomedical engineering, Computational biophysics, Computational science
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Luca Citi
Date Deposited: 23 Jan 2015 12:47
Last Modified: 13 Feb 2019 11:15
URI: http://repository.essex.ac.uk/id/eprint/12344

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