New Orleans, Louisiana
June 26, 2016
June 26, 2016
August 28, 2016
Computers in Education
We design and implement a software tool that can check the attendance of enrolled students automatically. The students need to install the application to their android phones. The challenging issue in designing the software tool is that we need to find out whether a student is inside or outside the classroom in an automatic fashion. For this purpose, the application in a student's phone will measure the current signal strengths of WiFi and Bluetooth devices in and around the classroom, which are reported to a server running the software that checks the student attendance. Then, the server decides whether the students are located inside or outside the classroom by analyzing the signal strengths. We already carried out the comprehensive measurements of WiFi and Bluetooth strengths. It turns out that when a student stands right next to the wall outside the classroom, her measured WiFi signal strength is not noticeably different from that of a student inside the classroom. That is, WiFi signal strengths cannot serve as a determining factor to localize the student at the granularity of classrooms. In Bluetooth devices, we can adjust the transmission power levels, which greatly helps to localize the students. By deploying Bluetooth devices with appropriate power levels, we can achieve significantly better localization performance. To further enhance the precision of class attendances, we also use pedestrian dead reckoning (PDR), which estimates the trajectory of a student by measuring the magnetic sensor (azimuth) and the accelerometer.
Kwon, T., & Kwak, M., & Song, J., & Chun, S., & Chi, S. (2016, June), A Tool for Checking Attendance of Students in Classroom Automatically Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.26474
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