@article{ART002813399},
author={Kim JinAh and Hyungju Kim and Chan Park and Nammee Moon},
title={Deep Learning-based Pet Monitoring System and Activity Recognition device},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2022},
volume={27},
number={2},
pages={25-32},
doi={10.9708/jksci.2022.27.02.025}
TY - JOUR
AU - Kim JinAh
AU - Hyungju Kim
AU - Chan Park
AU - Nammee Moon
TI - Deep Learning-based Pet Monitoring System and Activity Recognition device
JO - Journal of The Korea Society of Computer and Information
PY - 2022
VL - 27
IS - 2
PB - The Korean Society Of Computer And Information
SP - 25
EP - 32
SN - 1598-849X
AB - In this paper, we propose a pet monitoring system based on deep learning using an activity recognition device. The system consists of a pet's activity recognition device, a pet owner's smart device, and a server. Accelerometer and gyroscope data were collected from an Arduino-based activity recognition device, and the number of steps was calculated. The collected data is pre-processed and the amount of activity is measured by recognizing the activity in five types (sitting, standing, lying, walking, running) through a deep learning model that hybridizes CNN and LSTM. Finally, monitoring of changes in the activity, such as daily and weekly briefing charts, is provided on the pet owner's smart device. As a result of the performance evaluation, it was confirmed that specific activity recognition and activity measurement of pets were possible. Abnormal behavior detection of pets and expansion of health care services can be expected through data accumulation in the future.
KW - Monitoring system;Activity recognition device;Deep learning;Activity recognition;Activity analysis
DO - 10.9708/jksci.2022.27.02.025
ER -
Kim JinAh, Hyungju Kim, Chan Park and Nammee Moon. (2022). Deep Learning-based Pet Monitoring System and Activity Recognition device. Journal of The Korea Society of Computer and Information, 27(2), 25-32.
Kim JinAh, Hyungju Kim, Chan Park and Nammee Moon. 2022, "Deep Learning-based Pet Monitoring System and Activity Recognition device", Journal of The Korea Society of Computer and Information, vol.27, no.2 pp.25-32. Available from: doi:10.9708/jksci.2022.27.02.025
Kim JinAh, Hyungju Kim, Chan Park, Nammee Moon "Deep Learning-based Pet Monitoring System and Activity Recognition device" Journal of The Korea Society of Computer and Information 27.2 pp.25-32 (2022) : 25.
Kim JinAh, Hyungju Kim, Chan Park, Nammee Moon. Deep Learning-based Pet Monitoring System and Activity Recognition device. 2022; 27(2), 25-32. Available from: doi:10.9708/jksci.2022.27.02.025
Kim JinAh, Hyungju Kim, Chan Park and Nammee Moon. "Deep Learning-based Pet Monitoring System and Activity Recognition device" Journal of The Korea Society of Computer and Information 27, no.2 (2022) : 25-32.doi: 10.9708/jksci.2022.27.02.025
Kim JinAh; Hyungju Kim; Chan Park; Nammee Moon. Deep Learning-based Pet Monitoring System and Activity Recognition device. Journal of The Korea Society of Computer and Information, 27(2), 25-32. doi: 10.9708/jksci.2022.27.02.025
Kim JinAh; Hyungju Kim; Chan Park; Nammee Moon. Deep Learning-based Pet Monitoring System and Activity Recognition device. Journal of The Korea Society of Computer and Information. 2022; 27(2) 25-32. doi: 10.9708/jksci.2022.27.02.025
Kim JinAh, Hyungju Kim, Chan Park, Nammee Moon. Deep Learning-based Pet Monitoring System and Activity Recognition device. 2022; 27(2), 25-32. Available from: doi:10.9708/jksci.2022.27.02.025
Kim JinAh, Hyungju Kim, Chan Park and Nammee Moon. "Deep Learning-based Pet Monitoring System and Activity Recognition device" Journal of The Korea Society of Computer and Information 27, no.2 (2022) : 25-32.doi: 10.9708/jksci.2022.27.02.025
