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Author (up) Lanata, A.; Guidi, A.; Valenza, G.; Baragli, P.; Scilingo, E. P.
Title The Role of Nonlinear Coupling in Human-Horse Interaction: a Preliminary Study Type Conference Article
Year 2017 Publication 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Abbreviated Journal EMBC
Volume Issue Pages
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Abstract This study focuses on the analysis of humanhorse

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.
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Area Expedition Conference
Notes Approved no
Call Number Equine Behaviour @ team @ Serial 6176
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