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Author | 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 |
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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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Notes | Approved | no | |||
Call Number | Equine Behaviour @ team @ | Serial | 6176 | ||
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