The role of nonlinear coupling in Human-Horse Interaction: A preliminary study

This study focuses on the analysis of human-horse dynamic interaction using cardiovascular information exclusively. Specifically, the Information Theoretic Learning (ITL) approach has been applied to a Human-Horse Interaction paradigm, therefore accounting for the nonlinear information of the heart-...

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Bibliographic Details
Main Authors: Lanata, Antonio, Guidi, Andrea, Valenza, Gaetano, Baragli, Paolo, Scilingo, Enzo Pasquale
Format: Conference Proceeding
Language:English
Subjects:
Couplings
Electrocardiography
Heart rate variability
Horses
Kernel
Protocols
Support vector machines
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Summary:This study focuses on the analysis of human-horse dynamic interaction using cardiovascular information exclusively. Specifically, the Information Theoretic Learning (ITL) approach has been applied to a Human-Horse Interaction paradigm, therefore accounting for the nonlinear information of the heart-heart interplay between humans and horses. Heartbeat dynamics was gathered from humans and horses during three experimental conditions: absence of interaction, visual-olfactory interaction, and brooming. Cross Information Potential, Cross Correntropy, and Correntropy Coefficient were computed to quantitatively estimate nonlinear coupling in a group of eleven subjects and one horse. Results showed a statistical significant difference on all of the three interaction phases. Furthermore, a Support Vector Machine classifier recognized the three conditions with an accuracy of 90:9%. These preliminary and encouraging results suggest that ITL analysis provides viable metrics for the quantitative evaluation of human-horse interaction.
ISSN:1557-170X
2694-0604
DOI:10.1109/EMBC.2017.8037075