Implementation of an Office Chair with Warning Function on Abnormal Health Using IoT Technology

Authors

  • Chi-Ngon Nguyen Can Tho University, Vietnam
  • Thanh Tam Huynh An Giang Vocational College, Vietnam
  • Trung Hieu Nguyen Can Tho University, Vietnam
  • Duc Hoa Nguyen Can Tho University, Vietnam
  • Chanh-Nghiem Nguyen Can Tho University, Vietnam

Corressponding author's email:

ncngon@ctu.edu.vn

DOI:

https://doi.org/10.54644/jte.69.2022.1082

Keywords:

3-axis acceleration sensor, IoT technology, Health monitoring, Load cell, Micro-controller

Abstract

In modern society, workload makes more and more pressure to any office workers that obliges them sitting long time on chairs, leading to many health risks. This study proposes a solution to integrate the IoT (Internet of Things) technology into an office chair, so called IoT-chair. An IoT module measures the movements of workers and send data to a computer via WiFi connection. That data includes the weight of worker and the 3-axis acceleration provided by sensors. A feedforward neural network is trained to estimate the health status. When the worker does not move continuously for more than 3 minutes, the IoT-chair considers that is an abnormal situation and send a SOS message to an assistant. In addition, the IoT-chair can also make audible remind when the worker sitting longer than 45 minutes. Experimental results on some scenarios show that the ability to remind of long sitting conditions reaches 100% accuracy, and the ability to detect and warn abnormal health conditions reaches 82% accuracy. Experiments also show that it is possible to complete this product for a wide range of applications.

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Author Biographies

Chi-Ngon Nguyen, Can Tho University, Vietnam

Chi-Ngon Nguyen received B.S. and M.S. degrees in Electronic Engineering from Can Tho University and the National University, Ho Chi Minh City University of Technology, Vietnam, in 1996 and 2001, respectively. The degree of Ph.D. in Control Engineering was awarded by the University of Rostock, Germany, in 2007.

Since 1996, he has worked at the Can Tho University. He is an associate professor in automation at Department of Automation Technology, and former dean of the College of Engineering at the Can Tho University. Currently, he is a Vice Chairman of the Board of Trustee of Can Tho University.

His research interests are intelligent control, medical control, pattern recognition, classifications, speech recognition, computer vision and agricultural automation.

Thanh Tam Huynh, An Giang Vocational College, Vietnam

Huynh Thanh Tam received the B.S. degree in Electrical Engineering from Ho Chi Minh City University of Technical Education, Vietnam in 2014 and the M.S. degree in Automation and Control Engineering from Can Tho University, Vietnam, in 2021.

From 2004 to 2008, he was a lecturer at An Giang Vocational School, Vietnam. From 2008 to present, he has been a lecturer at the Departmenr of Electronic Engineering, Faculty of Electrical Engineering, An Giang Vocational College, Vietnam.

Trung Hieu Nguyen, Can Tho University, Vietnam

Nguyen Trung Hieu is a B.S. degree student in Automation and Control Engineering of the Department of Automation Technology, College of Engineering, Can Tho University, Vietnam. He will graduate his B.S. degree at the end of December 2021.

Duc Hoa Nguyen, Can Tho University, Vietnam

Nguyen Duc Hoa is a B.S. degree student in Automation and Control Engineering of the Department of Automation Technology, College of Engineering, Can Tho University, Vietnam. He will graduate his B.S. degree at the end of December 2021.

Chanh-Nghiem Nguyen, Can Tho University, Vietnam

Chanh-Nghiem Nguyen received the M.S. degree in Mechatronics from Asian Institute of Technology, Pathumthani, Thailand, in 2007 and the Ph.D. degree from Graduate School of Engineering Science, Osaka University, Osaka, Japan, in 2012.

Since 2005, he has been a lecturer at Department of Automation Technology, College of Engineering Technology, Can Tho University. His research interests include machine vision, GNSS applications, artificial intelligence, control systems, multispectral and hyperspectral imaging and applications.

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Published

28-04-2022

How to Cite

[1]
C. N. Nguyen, T. T. Huynh, T. H. Nguyen, Nguyen Đức H., and C. N. Nguyen, “Implementation of an Office Chair with Warning Function on Abnormal Health Using IoT Technology”, JTE, vol. 17, no. 2, pp. 17–25, Apr. 2022.

Issue

Vol. 17 No. 2 (2022)

Section

Research Article

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