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International Journal of Fuzzy Logic and Intelligent Systems 2019; 19(4): 342-348

Published online December 25, 2019

https://doi.org/10.5391/IJFIS.2019.19.4.342

© The Korean Institute of Intelligent Systems

Development of the Smart Mat with IoT Applied Technology

Jung-Sook Kim1 and Junho Jeong2

1School of CIT Convergence, Kimpo University, Korea
2Department of Computer Science and Engineering, Kongju National University, Korea

Correspondence to :
Jung-Sook Kim (kimjs@kimpo.ac.kr)

Received: November 20, 2019; Revised: November 22, 2019; Accepted: December 4, 2019

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

In this study, we developed a smart mat with Internet of Things applied technology. The smart mat system composed of the hardware and software. The hardware contains multiple sensors connected to wireless network to transmit data from sensors to remote server. Also, the system can set the temperature at the optimal sleeping condition using a microcomputer. Furthermore, it can control the precision temperature controller at the unit of 1 grade and can control the controller at the minimum grade of 25–55. And the sensing data from smart mat are for remote monitoring of the elderly living alone or healthcare users, and a system model that can collect data on bedtime, wakeup time, and sleep quality. We developed an algorithm which could decides the status of sleep according to data from the sensors of the smart mat. There are nine types of status flags, which have the values from 1 to 9. This system can process the recorded contents and send the data to the smartphone application of the caregivers in real time for remote monitoring. Also, we developed the management system on the web to check the device status, permission, custom information, user information, and raw data.

Keywords: Smart Mat System, Washable and Eco-friendly Materials, Remote Monitoring System, Sleeping Hours, Internet of Things, Healthcare, Biosensor

Jung-Sook Kim is aprofessor at the School of CIT Convergence, Kimpo University, Korea. She received her B.S., M.S., and Ph.D. degrees in computer engineering from Dongguk University, Seoul, Korea in 1993, 1995, and 1999, respectively. Her research interests include the fields of intelligent systems, IT convergence, and distributed and parallel systems.

E-mail: kimjs@kimpo.ac.kr

Junho Jeong is a professor in the Department of Computer Science and Engineering at Kongju National University, Korea. He received his B.S., M.S., and Ph.D. degrees in computer engineering from Dongguk University, Seoul, Korea in 2007, 2009, and 2015, respectively. His research interests include the fields of computer security, cloud systems, and distributed and parallel systems.

E-mail: yanyenli@hotmail.com

Article

Original Article

International Journal of Fuzzy Logic and Intelligent Systems 2019; 19(4): 342-348

Published online December 25, 2019 https://doi.org/10.5391/IJFIS.2019.19.4.342

Copyright © The Korean Institute of Intelligent Systems.

Development of the Smart Mat with IoT Applied Technology

Jung-Sook Kim1 and Junho Jeong2

1School of CIT Convergence, Kimpo University, Korea
2Department of Computer Science and Engineering, Kongju National University, Korea

Correspondence to:Jung-Sook Kim (kimjs@kimpo.ac.kr)

Received: November 20, 2019; Revised: November 22, 2019; Accepted: December 4, 2019

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In this study, we developed a smart mat with Internet of Things applied technology. The smart mat system composed of the hardware and software. The hardware contains multiple sensors connected to wireless network to transmit data from sensors to remote server. Also, the system can set the temperature at the optimal sleeping condition using a microcomputer. Furthermore, it can control the precision temperature controller at the unit of 1 grade and can control the controller at the minimum grade of 25–55. And the sensing data from smart mat are for remote monitoring of the elderly living alone or healthcare users, and a system model that can collect data on bedtime, wakeup time, and sleep quality. We developed an algorithm which could decides the status of sleep according to data from the sensors of the smart mat. There are nine types of status flags, which have the values from 1 to 9. This system can process the recorded contents and send the data to the smartphone application of the caregivers in real time for remote monitoring. Also, we developed the management system on the web to check the device status, permission, custom information, user information, and raw data.

Keywords: Smart Mat System, Washable and Eco-friendly Materials, Remote Monitoring System, Sleeping Hours, Internet of Things, Healthcare, Biosensor

Fig 1.

Figure 1.

System to connect.

The International Journal of Fuzzy Logic and Intelligent Systems 2019; 19: 342-348https://doi.org/10.5391/IJFIS.2019.19.4.342

Fig 2.

Figure 2.

3-point biosensors.

The International Journal of Fuzzy Logic and Intelligent Systems 2019; 19: 342-348https://doi.org/10.5391/IJFIS.2019.19.4.342

Fig 3.

Figure 3.

Daily data result.

The International Journal of Fuzzy Logic and Intelligent Systems 2019; 19: 342-348https://doi.org/10.5391/IJFIS.2019.19.4.342

Fig 4.

Figure 4.

Weekly data result.

The International Journal of Fuzzy Logic and Intelligent Systems 2019; 19: 342-348https://doi.org/10.5391/IJFIS.2019.19.4.342

Fig 5.

Figure 5.

Monthly data result.

The International Journal of Fuzzy Logic and Intelligent Systems 2019; 19: 342-348https://doi.org/10.5391/IJFIS.2019.19.4.342

Fig 6.

Figure 6.

Login.

The International Journal of Fuzzy Logic and Intelligent Systems 2019; 19: 342-348https://doi.org/10.5391/IJFIS.2019.19.4.342

Fig 7.

Figure 7.

New device registration.

The International Journal of Fuzzy Logic and Intelligent Systems 2019; 19: 342-348https://doi.org/10.5391/IJFIS.2019.19.4.342

Fig 8.

Figure 8.

Device information.

The International Journal of Fuzzy Logic and Intelligent Systems 2019; 19: 342-348https://doi.org/10.5391/IJFIS.2019.19.4.342

Fig 9.

Figure 9.

The smart mat.

The International Journal of Fuzzy Logic and Intelligent Systems 2019; 19: 342-348https://doi.org/10.5391/IJFIS.2019.19.4.342

Fig 10.

Figure 10.

(a) The first time testing result, (b) the second time testing result, (c) the third time testing result, (d) the fourth time testing result, and (e) the fifth time testing result.

The International Journal of Fuzzy Logic and Intelligent Systems 2019; 19: 342-348https://doi.org/10.5391/IJFIS.2019.19.4.342

Table 1 . APIs.

API descriptionMethodRequest URLResponseResponse description
Search of all usersGET/user200-
400-

User creationPOST/user201Creation
400-
409Already existence user ID

Information retrieval of usersGET/user/{user id}200-
400-
404Not found user

Information update of usersPUT/user/{user id}200-
400-
404-

User deletionDELETE/user/{user id}204Deletion
400-

LoginPOST/login201-
400-
401Wrong password
404Not found user

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