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- Title
Cry Recognition for Infant Incubator Monitoring System Based on Internet of Things using Machine Learning.
- Authors
Sutanto, Erwin; Fahmi, Fahmi; Shalannanda, Wervyan; Aridarma, Arga
- Abstract
With the current technology trend of IoT and Smart Device, there is a possibility for the improvement of our infant incubator in responding to the real baby’s condition. This work is trying to see that possibility. First is by analyzing of open baby voice database. From there, a procedure to find out baby cry classification will be explained. The approach was starting with an analysis of sound’s power from that WAV files before going further into the 2D pattern, which will have features for the machine learning. From this work, around 85% accuracy could be achieved. Then together with sensors, it would be useful for infant incubator’s innovation by utilizing this proposed configuration.
- Subjects
MACHINE learning; INTERNET of things; INFANT incubators; SMART devices; CONVOLUTIONAL neural networks
- Publication
International Journal of Intelligent Engineering & Systems, 2021, Vol 14, Issue 1, p444
- ISSN
2185-310X
- Publication type
Article
- DOI
10.22266/ijies2021.0228.41