DOI : https://doi.org/10.18517/ijaseit.13.6.19416

Position and Temperature Detector for Autism Spectrum Disorder Children based on Sensor and Using IoT System

Yunidar Yunidar (1), Melinda Melinda (2)
(1) Department of Electrical and Computer Engineering, Faculty of Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia
(2) Department of Electrical and Computer Engineering, Faculty of Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia
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How to cite (IJASEIT) :
Yunidar, Yunidar, and Melinda Melinda. “Position and Temperature Detector for Autism Spectrum Disorder Children Based on Sensor and Using IoT System”. International Journal on Advanced Science, Engineering and Information Technology, vol. 13, no. 6, Dec. 2023, pp. 2105-11, doi:10.18517/ijaseit.13.6.19416.
Citation Format :
Children with Autism Spectrum Disorder (ASD) have characteristics where one cannot control emotions, which can cause tantrums that can impact behavior and body temperature. Based on this, they should be supervised by parents/relatives. To reduce the effects of these circumstances, this study seeks to design a technology system that can measure body temperature and detect the position of ASD children who can later monitor the activities they do. This system applies the ESP32 microcontroller and utilizes the GPS module to read the position of objects detected by the system and the MLX90614 temperature sensor, which can detect the body temperature of ASD children. Then, to facilitate checking, the control system is designed with an IoT system through the Blynk application to make it easier for users to supervise ASD children and can be accessed via smartphones in real time. In this study, detection testing was carried out on 3 ASD child subjects by grouping three conditions: namely, the child exits the location when the child is outside the predetermined location; then the child exits the body temperature when the child's body temperature is abnormal, and the child exits the location and body temperature outside normal. The results obtained show that the detector test results provide notifications to application users in the form of "child out of location," "child out of body temperature," and "child out of location and body temperature outside normal".

U. A. Siddiqui et al., "Wearable-sensors-based platform for gesture recognition of autism spectrum disorder children using machine learning algorithms," Sensors, vol. 21, no. 10, 2021, doi: 10.3390/s21103319.

World Autism Awareness Day: Recognize the Symptoms, Understand the Situation. [Online].

Available: https://www.kemenpppa.go.id/index.php/page/read/31/1682

T. Ghosh et al., "Artificial intelligence and internet of things in screening and management of autism spectrum disorder," Sustain. Cities Soc., vol. 74, p. 103189, 2021, doi: 10.1016/j.scs.2021.103189.

S. Kimura, Y. Takaoka, M. Toyoura, S. Kohira, and M. Ohta, "Core body temperature changes in school-age children with circadian rhythm sleep-wake disorder," Sleep Med., vol. 87, pp. 97-104, 2021, doi: 10.1016/j.sleep.2021.08.026.

S. Erden, "Hypothermia Associated with Melatonin Ingestion in a Child with Autism," Clin. Neuropharmacol., vol. 42, no. 5, pp. 179-180, 2019, doi: 10.1097/WNF.0000000000000355.

M. T. Tomczak et al., "Stress monitoring system for individuals with autism spectrum disorders," IEEE Access, vol. 8, 2020, doi: 10.1109/ACCESS.2020.3045633.

N. Nigar, "Microcontroller based autistic child monitoring system in Bangladesh," J. Kejuruter., vol. 33, no. 1, pp. 83-88, 2021. doi: https://doi.org/10.17576/jkukm-2020-33(1)-09

V. Khullar, H. P. Singh, and M. Bala, "Meltdown/Tantrum Detection System for Individuals with Autism Spectrum Disorder," Appl. Artif. Intell., vol. 00, no. 00, pp. 1-25, 2021. doi: 10.1080/08839514.2021.1991115.

R. Aisuwarya, Melisa, and R. Ferdian, "Monitoring and Notification System of the Position of a Person with Dementia Based on Internet of Things (IoT) and Google Maps," ICECOS 2019 - 3rd Int. Conf. Electr. Eng. Comput. Sci. Proceeding, pp. 396-400, 2019, doi: 10.1109/ICECOS47637.2019.8984591.

K. Deo, R. Deedwania, and S. Bairagi, "Human Intrusion and Motion Detection System," Int. J. Comput. Appl., vol. 176, no. 28, pp. 46-49, 2020, doi: 10.5120/ijca2020920315.

M. Jafarzadeh, S. Brooks, S. Yu, B. Prabhakaran, and Y. Tadesse, "A wearable sensor vest for social humanoid robots with GPGPU, IoT, and modular software architecture", vol. 139. 2021. doi: 10.1016/j.robot.2020.103536.

A. Imran, M. Yantahin, A. M. Mappalotteng, and M. Arham, "Development of Monitoring Tower Using Gyroscope Sensor Based on Esp32 Microcontroller," J. Appl. Eng. Technol. Sci., vol. 4, no. 1, pp. 405-414, 2022, doi: 10.37385/jaets.v4i1.1327.

A. Ghodake, S. Gomase, J. Omkar, and S. Aswale, "Design and Implementation of Women Safety System Based On IOT Technology," Int. Res. J. Eng. Technol., vol. 08, no. 06, pp. 1258-1261, 2021. [Online]. Available: www.irjet.net

V. Baby Shalini, "Smart Health Care Monitoring System based on Internet of Things (IOT)," Proc. - Int. Conf. Artif. Intell. Smart Syst. ICAIS, pp. 1449-1453, 2021, doi: 10.1109/ICAIS50930.2021.9396019.

D. Iskandar, E. W. Nugroho, D. Rahmawati, and I. Rozikin, “Automatic Door Control System with Body Temperature Sensor,” Int. J. Comput. Inf. Syst., vol. 2, no. 4, pp. 111-114, 2021. doi: 10.29040/ijcis.v2i4.42.

A. Sudianto, Z. Jamaludin, A. A. Abdul Rahman, S. Novianto, and F. Muharrom, "Smart Temperature Measurement System for Milling Process Application Based on MLX90614 Infrared Thermometer Sensor with Arduino," J. Adv. Res. Appl. Mech., vol. 72, no. 1, pp. 10-24, 2020. doi: 10.37934/aram.72.1.1024.

R. W. Tareq and T. A. Khaleel, "Implementation of MQTT Protocol in Health Care Based on IoT Systems: A Study," Int. J. Electr. Comput. Eng. Syst., vol. 12, no. 4, pp. 215-223, 2021. doi: 10.32985/IJECES.12.4.5.

C. Khandekar, W. Jin, and S. Fan, "Direct thermal infrared vision via nanophotonic detector design," 2021, [Online]. Available: http://arxiv.org/abs/2108.11583.

D. A. Setiawati, S. G. Utomo, Murad, and G. M. D. Putra, "Design of temperature and humidity control system on oyster mushroom plant house based on Internet of Things (IoT)," IOP Conf. Ser. Earth Environ. Sci., vol. 712, no. 1, 2021. doi: 10.1088/1755-1315/712/1/012002.

P. W. A. Sucipto and A. Firasanti, "Internet-Based Multi-Platform Thermometer Using WhatsApp and Sensor MLX90614 with Location Tracker Feature for Covid-19 Surveillance," Proc. 2nd Borobudur Int. Symp. Sci. Technol. (BIS-STE 2020), vol. 203, pp. 39-45, 2021. doi: 10.2991/aer.k.210810.008.

D. Hercog, T. Lerher, M. TruntiÄ, and O. Težak, "Design and Implementation of ESP32-Based IoT Devices," Sensors, vol. 23, no. 15, 2023, doi: 10.3390/s23156739.

Y. E. Windarto, B. M. W. Samosir, and M. R. Assariy, "Internet of Things-Based Room Monitoring Using Thingsboard and Blynk," Walisongo J. Inf. Technol., vol. 2, no. 2, p. 145, 2020. doi: 10.21580/wjit.2020.2.2.5798.

J. Piriyataravet, W. Kumwilaisak, J. Chinrungrueng, and T. Piriyatharawet, "Determining bus stop locations using deep learning and time filtering," Eng. J., vol. 25, no. 8, pp. 163-172, 2021. doi: 10.4186/ej.2021.25.8.163.

Yosef Doly Wibowo, "Implementation of the Ublox 6M GPS Module in the Design and Development of an Internet of Things-Based Motorcycle Security System," Electrician, vol. 15, no. 2, pp. 107-115, 2021. doi: 10.23960/elc.v15n2.2173.

P. Kanani and M. Padole, "Real-time Location Tracker for Critical Health Patient using Arduino, GPS Neo6m and GSM Sim800L in Health Care," Proc. Int. Conf. Intell. Comput. Control Syst. ICICCS 2020, no. Iciccs, pp. 242-249, 2020. doi: 10.1109/ICICCS48265.2020.9121128.

A. R. Yanes, P. Martinez, and R. Ahmad, "Towards automated aquaponics: A review on monitoring, IoT, and smart systems," J. Clean. Prod., vol. 263, pp. 1-21, 2020. doi: 10.1016/j.jclepro.2020.121571.

S. Usha, M. Karthik, R. Lalitha, M. Jothibasu, and T. Krishnamoorthy, "Automatic Turning ON/OFF Bike Indicator Using Offline GPS Navigation System," IOP Conf. Ser. Mater. Sci. Eng., vol. 1055, no. 1, p. 012032, 2021, doi: 10.1088/1757-899x/1055/1/012032.

A. Nurjannah and M. N. F. Alfata, "Prototype of automated shading device: preliminary development," Eng. J., vol. 24, no. 4, pp. 229-238, 2020. doi: 10.4186/ej.2020.24.4.229.

A. Souri, M. Y. Ghafour, A. M. Ahmed, F. Safara, A. Yamini, and M. Hoseyninezhad, "A new machine learning-based healthcare monitoring model for student's condition diagnosis in Internet of Things environment," Soft Comput., vol. 24, no. 22, pp. 17111-17121, 2020, doi: 10.1007/s00500-020-05003-6.

T. U. Kumar and A. Periasamy, "IoT Based Smart Farming (E-FARM) 'S T.," vol. 2, no. 4, pp. 85-87, 2021.

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