Open AccessCry Recognition for Infant Incubator Monitoring System Based on Internet of Things using Machine Learning
Author(s) -
Erwin Sutanto,
Fahmi Fahmi,
Wervyan Shalannanda,
Arga Aridarma,
Pt. Tesena Inovindo
Publication year - 2021
Publication title -
international journal of intelligent engineering and systems
Language(s) - English
Resource type - Journals
eISSN - 2185-310X
pISSN - 1882-708X
DOI - 10.22266/ijies2021.0228.41
Subject(s) - incubator , computer science , internet of things , work (physics) , power (physics) , the internet , artificial intelligence , world wide web , engineering , mechanical engineering , physics , quantum mechanics , microbiology and biotechnology , biology
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.