The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2023
Session ID : 1P1-F07
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Proposal for an emotion classification system from dog’s tail movements using the information on the surrounding environment
*Yuri OUCHIFumihide TANAKA
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Abstract

It is well known that the tails of dogs function to communicate with their pack mates or owners and to express their emotions by changing the tail positions and the way of wagging their tails. For this reason, there is a growing trend to use tail wagging as an objective indicator of dogs’ emotions in experiments in the field of biology. However, since the breeds and personalities of dogs participating in experiments generally vary, each dog’s tail wagging often differs for the same emotion. Therefore, this study aims to develop a personalized emotion classification system that extracts the wave characteristics of tail wagging acquired from pose-estimation software, SLEAP, and assigns emotion labels based on the situations.

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© 2023 The Japan Society of Mechanical Engineers
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