Yongsoon Choi, Myungjin Kang and Rim Yu
Adv. Artif. Intell. Mach. Learn., 4 (2):2258-2275
1. Yongsoon Choi: Art & technology
2. Myungjin Kang: Art & Technology, Sogang Univ.
3. Rim Yu: Art & Technology, Sogang Univ.
DOI: 10.54364/AAIML.2024.42130
Article History: Received on: 15-Mar-24, Accepted on: 20-Apr-24, Published on: 27-May-24
Corresponding Author: Yongsoon Choi
Email: yongsoon@sogang.ac.kr
Citation: Myungjin Kang, et al. Okeydoggy: A Mobile Application That Helps Understand Calming Signals of Dog Using MOBILENETV2 —Focusing on “Play Bowing” and “Licking Nose”. Advances in Artificial Intelligence and Machine Learning. 2024;4(2):130.
Domestic dogs display a range of postures, facial expressions, and other body language
cues that can be used to evaluate their emotional and mental state; however, many do not
understand the meaning of theses signals. In this study, we recognized calming signal of
companion dogs using a mobile application powered by MobileNetV2. Specifically, we
recognized calming signal such as “Play bowing”, which indicates to reinitiate play after a
pause, and “Licking nose”, which indicates nervousness. We conducted a user survey with
44 dog owners to investigate if this mobile application provides positive user experiences,
and received positive responses.