AI Based Baby Nursing Robot

Tarun Debnath and Pallab Kanti Podder
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Tarun Debnath: Department of Information and Communication Engineering, Pabna University of Science and Technology, Pabna, Bangladesh.
Pallab Kanti Podder: Department of Information and Communication Engineering, Pabna University of Science and Technology, Pabna, Bangladesh.

International Journal of Science and Business, 2023, vol. 21, issue 1, 20-31

Abstract: Childcare is a tough job for every parent. In a joint family, parents get support from the grandparents, who spend most of their time with the baby. The situation is quite different for those who live in urban. Parents, who remain busy at day time in their job, become tired after their work, and baby caring at that particular time becomes quite impossible for them. More specifically the situation for job holder parents having twin babies cannot be imagined easily. This situation can be solved partially by a baby nursing robot, which can provide basic support needs for a baby. Already a lot of work has been done before and researchers are working to get a perfect solution. This paper focuses on the AI-based baby nursing robot which is an automated baby rocker capable of classifying baby cry to understand baby’s needs. After the sound classification, it provides necessary functions for the baby such as baby rocking, and baby entertainment functionality while in the cradle, and in case of a hungry cry it will take the baby to its parents. In addition, the proposed system can provide baby urination information through GSM to the parent's mobile. Also, it can provide some necessary information such as Gas leakage, Smoke detection, and Temperature, Humidity and CO level of the home environment. The robot will raise an alarm immediately and take the baby to the parents if it detects any unsafe situation detected by the sensors.

Keywords: AI; Baby; Robot; Childcare; Nursing; Baby cry; Cry classification. (search for similar items in EconPapers)
Date: 2023
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