You are here:

Design and Development of A Sitting Position Monitoring Tool Based on Wearable Devices
PROCEEDING

, , , , East China Normal University, China

Society for Information Technology & Teacher Education International Conference, in Las Vegas, NV, United States ISBN 978-1-939797-37-7 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA

Full Text

Abstract

Sitting posture, as an important physiological indicator in the classroom that can measure students' classroom behavior, is widely used in educational research. This study combines the advantages and disadvantages of several posture monitoring methods to develop a student sitting posture monitoring tool based on wearable devices. The tool realizes the real-time collection and storage of students' sitting posture changes in the classroom and displays the sitting posture curve in real time through self-made software. The researchers focused on the changes in the sitting behavior of the students in the classroom, and the student's sitting behavior analysis report can also be obtained after processing the collected data. Through two rounds of experiments, this study obtained 11 different sitting posture pressure distribution maps. Therefore, the application of the sitting posture monitoring tool can help the teacher improve the teaching, and enriches the dimension of the student's classroom behavior data collection.

Citation

Mao, M., Ji, L., Xu, W. & Liang, Y. (2019). Design and Development of A Sitting Position Monitoring Tool Based on Wearable Devices. In K. Graziano (Ed.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 1328-1333). Las Vegas, NV, United States: Association for the Advancement of Computing in Education (AACE). Retrieved March 5, 2021 from .

© 2019 Association for the Advancement of Computing in Education (AACE)

References

View References & Citations Map
  1. [2] Johnson,L., Adams Becker, S., Estrada, V., & Freeman,A. (2015). NMC Horizon Report: 2015 Higher Education Edition. Austin, Texas: The New Media Consortium.
  2. [3] Zhang Shuyi. (2018). Development of In-Class Attention Assessment Tool Used Internet of Things. ShangHai: SITE 2019-Las Vegas, NV, United States, March 18-22, 2019 East China Normal University. 37-39.
  3. [7] Chang Xianhua, Zhou Jianjun. (2005). Study on the measurement system of sitting pressure distribution: Mechanical, (03), 60-62.
  4. [9] Barbara Levy. (2004). Which way is your thus leaning? <http: www.Pressuremapping.com/ products/ whichway. Pdf>.
  5. [10] Hunston M. (2002). Innovative thin-film pressure mapping sensors: Sensor Review, 22 (4), 319-321.
  6. [11] Tan H Z, Slivovsky LA, Pentland A. (2007). A sensing chair using pressure distribution sensors: Mechatronics, IEEE/ASME Transactions on, 6 (3), 261-268.
  7. [13] Min Mao, Li Ji, Weizhen Xu, & Qin Zhang. (2018). A system and method based on intelligent cushion group to collect classroom comprehensive information: Chinese patent pending, 201811135657.3.

These references have been extracted automatically and may have some errors. Signed in users can suggest corrections to these mistakes.

Suggest Corrections to References

Slides

Also Read

Related Collections