A STUDY ON RELATIONSHIP RECOGNITION AND ANALYSIS THROUGH IOT-BASED INFANT ACTIVITY MONITORING

Published 30 sep 2019 •  vol 130  • 


Authors:

 

Hyoung-Keun Park, Dept. of Electronic Engineering, Namseoul University, South Korea

Abstract:

 

In this paper, I have developed a real - time monitoring system that can identify the individual position of infants and their proximity to other infants using the IoT technology - based nameplate. In this way, information about how many infants interact with each infant is identified. The information gathered through this system was used as important information to improve the peer relations of all infants and toddlers, from neglected or rejected infants to infants who had no problems in terms of social development and even more popular infants. Based on proximity information between infants and toddlers, the teacher can identify the type of interaction (positive interaction, negative interaction) and try to improve the relationship of infants and young children and use the results in consultation with parents. Therefore, the data collected through this system is converted into a database to establish a system for improvement of peer relations.

Keywords:

 

Real-time monitoring system, Infants interact, Parent consultation, Relationship recognition

References:

 

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Citations:

 

APA:
Park, H.-K., (2019). A Study on Relationship Recognition and Analysis through IoT-Based Infant Activity Monitoring. International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, 130, 59-68. doi: 10.33832/ijast.2019.130.06.

MLA:
Park, Hyoung-Keun “A Study on Relationship Recognition and Analysis through IoT-Based Infant Activity Monitoring.” International Journal of Advanced Science and Technology, ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 130, 2019, pp. 59-68. IJAST, http://article.nadiapub.com/IJAST/Vol130/6.html.

IEEE:
[1] H.-K. Park, “A Study on Relationship Recognition and Analysis through IoT-Based Infant Activity Monitoring.” International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 130, pp. 59-68, Sep. 2019.