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Author (up) Lanata, A.; Guidi, A.; Valenza, G.; Baragli, P.; Scilingo, E. P. openurl 
  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  
  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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