DOI : https://doi.org/10.18517/ijaseit.9.6.9958

Comparative Study on the Measurement of Human Thermal Activity

Awais Gul Airij (1), Rubita Sudirman (2), Usman Ullah Sheikh (3), Teruji Ide (4), Yusuke Nagata (5), Kiyotaka Kamata (6)
(1) School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia
(2) School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia
(3) School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia
(4) National Institute of Technology, Kagoshima College, Kagoshima
(5) National Institute of Technology, Kagoshima College, Kagoshima
(6) National Institute of Technology, Kagoshima College, Kagoshima
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How to cite (IJASEIT) :
Airij, Awais Gul, et al. “Comparative Study on the Measurement of Human Thermal Activity”. International Journal on Advanced Science, Engineering and Information Technology, vol. 9, no. 6, Dec. 2019, pp. 2160-5, doi:10.18517/ijaseit.9.6.9958.
Citation Format :
Human physiological signals measurement is the necessity of today’s modern world. The physiological signals, including heart rate, skin conductance, temperature, and pupil diameter, are significant indicators of underlying problems or illnesses and aid in indicating the underlying condition non-invasively. This study highlights the importance and needs for only one physiological signal, which is the body temperature as even a minor change in temperature values has a unique effect on the body. Hence, the present study focuses on comparing two well-known temperature sensors, namely DS18B20 and LM35, which are among the top choices for many temperature-based applications. The two sensors are compared in terms of cost, accuracy, temperature range, voltage, output type, implementation, packaging and required signal conditioning circuitry. The sole purpose is to find the adequacy of only one in terms of medical applications. The temperature readings are collected for 15 seconds from 10 participants between the age of 25 - 28 years and the data is sent to a microcontroller, which is Arduino Mega board. The microcontroller board processes the data for noise and artefacts removal and displays the final temperature readings on the serial monitor of Arduino IDE. The results highlight that DS18B20 is more accurate and robust in comparison to LM35, as it has lower fluctuations in the readings and is not affected by user movements. This study will help in the future development of healthcare systems, which may track the user’s thermal changes accurately in real-time.

A. G. Airij, R. Sudirman, and U. U. Sheikh, “GSM and GPS based real-time remote physiological signals monitoring and stress levels classification,” 2nd Int. Conf. BioSignal Anal. Process. Syst. ICBAPS 2018, pp. 130-135, 2018.

A. Gul Airij, R. Bakhteri, and M. Khalil-Hani, “Smart wearable stress monitoring device for autistic children,” J. Teknol., vol. 78, no. 7-5, 2016.

B. Kim and S. Oh, “Design of Temperature and Humidity Integrated Sensor Module for Farm Management,” Adv. Sci. Lett., vol. 22, no. 11, pp. 3232-3236, Nov. 2016.

M. Farhat, M. Abdul-Niby, M. Abdullah, and A. Nazzal, “A Low Cost Automated Weather Station for Real Time Local Measurements A Low Cost Automated Weather Station for Real Time Local Measurements,” Technol. Appl. Sci. Res., vol. 7, no. 3, pp. 1615-1618, 2017.

A. H. Buller, “Flexural Strength of Reinforced Concrete RAC Beams Exposed to 6-hour Fire - Part 2 : Rich Mix,” vol. 9, no. 1, pp. 3814-3817, 2019.

A. Q. Jakhrani, “Appraisal of Climatic Conditions for Potential Solar Energy Applications in Nawabshah and Quetta Cities,” vol. 9, no. 1, pp. 3711-3714, 2019.

Ε. Alizadeh, “An Investigation of the Effect of Ventilation Inlet and Outlet Arrangement on Heat Concentration in a Ship Engine Room,” vol. 7, no. 5, pp. 1996-2004, 2017.

M. Z. Abbasi, “An Investigation of Temperature and Wind Impact on ACSR Transmission Line Sag and Tension,” vol. 8, no. 3, pp. 3009-3012, 2018.

N. Kumar, “IoT architecture and system design for healthcare systems,” Proc. 2017 Int. Conf. Smart Technol. Smart Nation, SmartTechCon 2017, pp. 1118-1123, 2018.

J. Wang, “Design intelligent temperature monitoring system based on DSP,” Proc. 2012 4th Int. Conf. Intell. Human-Machine Syst. Cybern. IHMSC 2012, vol. 2, pp. 234-237, 2012.

T. H. Y. Ling, L. J. Wong, J. E. H. Tan, and K. Y. Kiu, “Non-intrusive Human Body Temperature Acquisition and Monitoring System,” Proc. - Int. Conf. Intell. Syst. Model. Simulation, ISMS, vol. 2015-Octob, pp. 16-20, 2015.

A. Schneider and S. Breitner, “Temperature effects on health - current findings and future implications.,” EBioMedicine, vol. 6, pp. 29-30, 2016.

J. K. N. Mazima, M. Kisangiri, and D. Machuve, “Design of Low Cost Blood Pressure and Body Temperature interface,” Int. J. Emerg. Sci. Eng., vol. 1, no. 10, pp. 109-114, 2013.

V. J. Madhuri, M. R. Mohan, and R. Kaavya, “Stress Management Using Artificial Intelligence,” 2013 Third Int. Conf. Adv. Comput. Commun., pp. 54-57, 2013.

S. Sumriddetchkajorn and K. Chaitavon, “Field test studies of our infrared-based human temperature screening system embedded with a parallel measurement approach,” Infrared Phys. Technol., vol. 52, no. 4, pp. 119-123, 2009.

Z. Jianping, “On-line measure system of the temperature in the synthetic ammonia tower based on the DS18B20 temperature sensor,” 2009 Int. Conf. Meas. Technol. Mechatronics Autom. ICMTMA 2009, vol. 1, pp. 102-104, 2009.

F. Xiong, “Wireless temperature sensor network based on DS18B20, CC2420, MCU AT89S52,” Proc. 2015 IEEE Int. Conf. Commun. Softw. Networks, ICCSN 2015, pp. 294-298, 2015.

B. Huang, J. Lei, and Y. Bo, “The reading data error analysis of 1-wire bus digital temperature sensor DS18B20,” Proc. 2012 Int. Conf. Model. Identif. Control. ICMIC 2012, pp. 433-436, 2012.

P. Li, Y. Zhou, X. Zeng, and T. F. Yang, “A design of the temperature test system based on grouping DS18B20,” ICIEA 2007 2007 Second IEEE Conf. Ind. Electron. Appl., pp. 188-191, 2007.

S. Hongyao, F. U. Jianzhong, and C. Zichen, “Embedded system of temperature testing Based on Ds18B20,” in International Technology and Innovation Conference, 2006, pp. 2223-2226.

K. Mahmud, M. S. Alam, and R. Ghosh, “Design of digital thermometer based on PIC16F77A single chip microcontroller,” in 2013 3rd International Conference on Consumer Electronics, Communications and Networks, 2013, pp. 246-249.

S. Arunaganesan, J. Adhavan, G. S. Reddy, and M. Venkatesan, “Data acquisition system based on 8051 microcontroller for cutting tool temperature measurement,” 2013 IEEE Int. Conf. Comput. Intell. Comput. Res. IEEE ICCIC 2013, pp. 1-4, 2013.

M. Tariq, M. Niaz, M. Tahzeeb, S. Kamran, and M. Wasim, “Wireless Sensor Network to Monitoring the Patient Health System Internet of things (IoT) based using ZigBee,” Int. J. Comput. Appl., vol. 182, no. 20, pp. 17-22, 2018.

S. Chaudhury, D. Paul, R. Mukherjee, and S. Haldar, “Internet of Thing based healthcare monitoring system,” in 2017 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON), 2017, pp. 346-349.

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