Volume 12 Number 5 (Sep. 2017)
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JCP 2017 Vol.12(5): 381-388 ISSN: 1796-203X
doi: 10.17706/jcp.12.5.381-388

Prediction of Baby Emotions through Pattern Recognition by Monitoring Baby's Biological Measurements

Vethapriyan Kugamoorthy, Dinithi Nallaperuma
Informatics Institute of Technology, 57, Ramakrishna Road, Colombo, Sri Lanka.
Abstract—The world humans live in today is a victim of rapid changes due to the high evolvement in science and technology. Baby Monitoring have turned into a major problem as it can cause significant issues in both parents and infants. Because parents have to occupy in some profession in order to cover the expenditures infants are left by at home alone, which makes parents anxiety which will affect the kids. According to research statistics 2300 babies still die yearly in the USA. Researchers and developers have discovered and implemented solutions for this which has not addressed the problem completely. Studies show that the reason for this is the limitations in technology, fewer acceptances from the public and being expensive and too complicated to implement. Main challenge in solving this issue is to build a solution which is accurate, easy to use, and cost effective and will be accepted by the public. Therefore, a baby monitor product (Care) has been proposed. View babies status, Send or receive audio, get notify if any abnormalities occur and generate reports are the main features this solution will consist. The product consist four main parts such as baby’s wearable device, smartphone application, web server and audio server. Emotions plays major role in the growth of babies. Interest, distress, disgust, smile, anger, sadness, surprise and etc. are some emotions practiced by babies. When baby cries for long period it will affect the mental growth, so the care should be concerned more with each emotions.

Index Terms—Parents, infants, baby monitor, emotions.

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Cite: Vethapriyan Kugamoorthy, Dinithi Nallaperuma, "Prediction of Baby Emotions through Pattern Recognition by Monitoring Baby's Biological Measurements," Journal of Computers vol. 12, no. 5, pp. 381-388, 2017.

General Information

ISSN: 1796-203X
Frequency: Monthly (2006-2014); Bimonthly (Since 2015)
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Cherry L. Chen
Abstracting/ Indexing: DBLP, EBSCO, DOAJ, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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