周辺環境情報を用いてイヌの尾の動きから感情を分類するシステムの提案

抄録

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.