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

被引:15
|
作者
Puckdeevongs, Apiruk [1 ]
Tripathi, N. K. [1 ]
Witayangkurn, Apichon [1 ]
Saengudomlert, Poompat [2 ]
机构
[1] Asian Inst Technol, Sch Engn & Technol, Remote Sensing & Geog Informat Syst Field Study, POB 4, Klongluang 12120, Pathumthani, Thailand
[2] Asian Inst Technol, Sch Engn & Technol, Telecommun Field Study, POB 4, Klongluang 12120, Pathumthani, Thailand
关键词
smart attendance; Bluetooth Low Energy; indoor positioning; Received Signal Strength Indicator (RSSI); fingerprinting; neural network;
D O I
10.3390/info11060329
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:18
相关论文
共 50 条
  • [1] Bluetooth Low Energy based Technology for Small UAS Indoor Positioning
    Ariante, Gennaro
    Ponte, Salvatore
    Del Core, Giuseppe
    [J]. 2022 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AEROSPACE (IEEE METROAEROSPACE 2022), 2022, : 113 - 118
  • [2] RSSI Based Bluetooth Low Energy Indoor Positioning
    Mussina, Aigerim
    Aubakirov, Sanzhar
    [J]. 2018 IEEE 12TH INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (AICT), 2018, : 301 - 304
  • [3] RSSI Based Bluetooth Low Energy Indoor Positioning
    Zhu Jianyong
    Chen Zili
    Luo Haiyong
    Li Zhaohui
    [J]. 2014 INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN), 2014, : 526 - 533
  • [4] Performance evaluation of bluetooth low energy in indoor positioning systems
    Contreras, David
    Castro, Mario
    Sanchez de la Torre, David
    [J]. TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 2017, 28 (01):
  • [5] Bluetooth Low Energy based Indoor Positioning on iOS platform
    Duong Ngoc Son
    Trinh Vu Tuan Anh
    Dinh Thi Thai Mai
    [J]. 2018 IEEE 12TH INTERNATIONAL SYMPOSIUM ON EMBEDDED MULTICORE/MANY-CORE SYSTEMS-ON-CHIP (MCSOC 2018), 2018, : 57 - 63
  • [6] Comparative Analysis of the Bluetooth Low-Energy Indoor Positioning Systems
    Cabarkapa, Danijel
    Grujic, Ivana
    Pavlovic, Petar
    [J]. 2015 12TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS IN MODERN SATELLITE, CABLE AND BROADCASTING SERVICES (TELSIKS), 2015, : 76 - 79
  • [7] An Indoor Positioning-Based Mobile Payment System Using Bluetooth Low Energy Technology
    Yohan, Alexander
    Lo, Nai-Wei
    Winata, Doni
    [J]. SENSORS, 2018, 18 (04)
  • [8] Hybrid indoor positioning for smart homes using WiFi and Bluetooth low energy technologies
    Haznedar, Yunus
    Aydin, G. Zeynep Gurkas
    Turgut, Zeynep
    [J]. JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS, 2023, 15 (01) : 63 - 87
  • [9] Cost-Effective Fitting Model for Indoor Positioning Systems Based on Bluetooth Low Energy
    Yeh, Sheng-Cheng
    Wang, Chia-Hui
    Hsieh, Chaur-Heh
    Chiou, Yih-Shyh
    Cheng, Tsung-Pao
    [J]. SENSORS, 2022, 22 (16)
  • [10] Performance Improvement Design of Bluetooth Low Energy-Based Wireless Indoor Positioning Systems
    Maneerat, Kriangkrai
    Kaemarungsi, Kamol
    [J]. MOBILE INFORMATION SYSTEMS, 2020, 2020