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Lanata, A.; Guidi, A.; Valenza, G.; Baragli, P.; Scilingo, E. P. |
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Title |
The Role of Nonlinear Coupling in Human-Horse Interaction: a Preliminary Study |
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Conference Article |
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Year |
2017 |
Publication |
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
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EMBC |
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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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Call Number |
Equine Behaviour @ team @ |
Serial |
6176 |
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Author |
Krueger, K.; Marr, I.; Farmer, K. |
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Title |
Equine Cognition |
Type |
Book Chapter |
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Year |
2017 |
Publication |
Encyclopedia of Animal Cognition and Behavior |
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1-11 |
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Springer International Publishing |
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Cham |
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Vonk, J.; Shackelford, T. |
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978-3-319-47829-6 |
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Equine Behaviour @ team @ Krueger2017 |
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6181 |
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