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OpenCV-based Geriatric Dog Behavior Monitoring System: Sleep and Abnormal Behavior Analysis Using Teachable Machine

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2025, 30(2), pp.99-105
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : October 25, 2024
  • Accepted : January 22, 2025
  • Published : February 28, 2025

Hyun-Soo Lee 1 Jae-Woong Kim 1 Won-Cheol Park 1

1국립공주대학교

Accredited

ABSTRACT

As of 2024, as the pet tech market expands and the number of households raising companion animals increases, much interest and research is being devoted to extending lifespan. In this paper, in order to extend the lifespan of companion animals, we propose a system that uses OpenCV's Teachable Machine technology to analyze the sleep patterns of elderly dogs in need of management and care and provide sleep status information. To analyze sleep patterns, images are collected and trained in advance, and based on this, the data is classified into five behavioral models and stored in the database. The classified behavioral models are compared with real-time input data through CCTV-style home monitoring, and if they match by 70% or more, information such as the time of occurrence, type of abnormal behavior, and possible response actions are sent to the pet owner via mobile notification. This system is expected to help pet owners quickly identify the condition of their senior dogs and take appropriate actions when necessary.

Citation status

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