NFC and IoT-based electronic health card for elementary students using sensor fusion method

• Published in: International journal of pervasive computing and communications Vol. 19; no. 1; pp. 43 - 53
• Main Authors: Basjaruddin, Noor Cholis, Faris Rifqi Fakhrudin, Sudarsa, Yana, Noor, Fatimah
• Format: Journal Article
• Language: English
• Published: Bingley Emerald Group Publishing Limited 06.01.2023
• Subjects: Applications programs; Body mass index; Body temperature; Body weight; Classification; Data recording; Elementary schools; Health services; Measurement methods; Measuring instruments; Medical records; Methods; Mobile computing; Near field communication; Nutrition; Nutritional status; Sensors; Students; User interface
• ISSN: 1742-7371; 1742-738X
• DOI: 10.1108/IJPCC-11-2020-0201

Purpose>In the context of overcoming malnutrition in elementary school children and increasing public awareness of this issue, the Indonesian Government has created a “Card for Healthy School Children” (KMS-AS) program in the form of a paper health card. However, currently, the KMS-AS record data are still written on paper, which is less effective in terms of the health process. An integrated measuring device and an online data-recording system are needed to promote children’s health and facilitate access and transfer of data from one place to another. This study aims to develop NFC and IoT-based KMS-AS using sensor fusion method.Design/methodology/approach>The results of this study show that an integrated measuring device for weight, height, body temperature and Spo2 level can be connected with mobile and Web applications using IoT technology, facilitating data recording and monitoring of children’s nutritional status. The sensor fusion method was used for the classification of nutritional status and health status, based on the results of measurement tools. Near field communication (NFC) technology was used to facilitate user identification when making measurements.Findings>The results show that KMS-AS can facilitate classification of nutritional status and children's health status. Measurement and classification data can be monitored via Web and mobile applications. The accuracy of height, weight, body temperature and Spo2 measurements was 98.21%, 98.59%, 98.93% and 98.93%, respectively.Originality/value>In this research, the authors successfully produced a system using sensor fusion method for measuring body weight, height, temperature and Spo2 level, which is integrated and can be connected to mobile applications and the Web using the IoT and NFC.