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Classroom Attendance Systems Based on Bluetooth Low Energy Indoor Positioning Technology for Smart Campus

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Remote Sensing and Geographic Information Systems Field of Study, School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathumthani 12120, Thailand
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Telecommunications Field of Study, School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathumthani 12120, Thailand
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Author to whom correspondence should be addressed.
Information 2020, 11(6), 329; https://doi.org/10.3390/info11060329
Received: 3 May 2020 / Revised: 11 June 2020 / Accepted: 16 June 2020 / Published: 19 June 2020
(This article belongs to the Special Issue Indoor Navigation in Smart Cities)
Student attendance during classroom hours is important, because it impacts the academic performance of students. Consequently, several universities impose a minimum attendance percentage criterion for students to be allowed to attend examinations; therefore, recording student attendance is a vital task. Conventional methods for recording student attendance in the classroom, such as roll-call and sign-in, are an inefficient use of instruction time and only increase teachers’ workloads. In this study, we propose a Bluetooth Low Energy-based student positioning framework for automatically recording student attendance in classrooms. The proposed architecture consists of two components, an indoor positioning framework within the classroom and student attendance registration. Experimental studies using our method show that the Received Signal Strength Indicator fingerprinting technique that is used in indoor scenarios can achieve satisfactory positioning accuracy, even in a classroom environment with typically high signal interference. We intentionally focused on designing a basic system with simple indoor devices based on ubiquitous Bluetooth technology and integrating an attendance system with computational techniques in order to minimize operational costs and complications. The proposed system is tested and demonstrated to be usable in a real classroom environment at Rangsit University, Thailand. View Full-Text
Keywords: smart attendance; Bluetooth Low Energy; indoor positioning; Received Signal Strength Indicator (RSSI); fingerprinting; neural network smart attendance; Bluetooth Low Energy; indoor positioning; Received Signal Strength Indicator (RSSI); fingerprinting; neural network
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Puckdeevongs, A.; Tripathi, N.K.; Witayangkurn, A.; Saengudomlert, P. Classroom Attendance Systems Based on Bluetooth Low Energy Indoor Positioning Technology for Smart Campus. Information 2020, 11, 329.

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