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Conference Paper
Prevention of Safety Accidents through Artificial Intelligence Monitoring of Infants in the Home Environment
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- Authors
- Yejin Lee, Kye Kyung Kim, Jae Hong Kim
- Issue Date
- 2019-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2019, pp.474-477
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- With the recent focus on the safety of living in the home environment, research is underway to monitor and to prevent living safety problems using the artificial intelligence (AI) technologies and Internet of Things (IoT). Especially, there are many accidents involving infants and children who are vulnerable to safety account such as suffocation, high fever or fall accidents during sleep. Therefore, intelligent infant monitoring system are required to alert protector in the event of a dangerous situation. In this paper, infants monitoring system using intelligent analysis on the basis of CNN (Convolutional Neural Network) has proposed that judge infant's sleep condition by detecting infant's body and face. We have conducted experiments to evaluate the performance of infant monitoring system and achieved face detection of 94.46%, body detection of 86.35% with 31,000 images on ETRI and virtual dataset.