Attendance Management System Using Indoor Localization Techniques 


Vol. 40,  No. 10, pp. 2068-2079, Oct.  2015


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  Abstract

Recently, interesting in flexible working has been increased, and some central government and large companies are conducting flexible working. With the conducting of flexible working, workers are able to get a convenience but the cost of managing is increased. In this paper, we suggest a method of reducing the cost and managing efficiently. Our study determines the position of the workers using indoor localization techniques through the Wi-Fi fingerprint and smartphone, and records the office hours. The previous time and attendance systems have to install attendance recording device(e.g. Fingerprint Attendance System, RFID Card Attendance System) and are needed to manipulate manually. Our system doesn"t need to install extra devices, and also doesn"t need to manipulate manually. Our system automatically records the office hours. Also most of previous time and attendance systems have another weakness. They only record data when workers start and stop work. But our system exactly records office hours for each workplaces. In this paper, We introduce an effective time and attendance system in variety flexible working. Our experiments shows that our system workers’ detected office hours accurately. The accuracy of our time and attendance system was 98.7%.

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  Cite this article

[IEEE Style]

D. Seo, D. Ahn, R. Ha, "Attendance Management System Using Indoor Localization Techniques," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 10, pp. 2068-2079, 2015. DOI: .

[ACM Style]

Dongin Seo, Daye Ahn, and Rhan Ha. 2015. Attendance Management System Using Indoor Localization Techniques. The Journal of Korean Institute of Communications and Information Sciences, 40, 10, (2015), 2068-2079. DOI: .

[KICS Style]

Dongin Seo, Daye Ahn, Rhan Ha, "Attendance Management System Using Indoor Localization Techniques," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 10, pp. 2068-2079, 10. 2015.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880