DEVELOPMENT OF A DETECTION SYSTEM FOR TANTRUM REAL-TIME BASED ON IoT TO SUPPORT INCLUSIVE EDUCATION IN SPECIAL SCHOOLS
Keywords:
autism spectrum disorder, IoT, emotion monitoring, heart rate sensor autism, sound sensor emotion detectionAbstract
In Special Education Schools (SLB), detecting and handling negative emotional behaviors such as tantrums in autistic students is a major challenge that directly affects the safety and quality of learning. This study aims to design a real-time tantrum detection system based on the Internet of Things (IoT), integrating a heart rate sensor and a sound sensor, processed using an ESP32 microcontroller and connected to a web-based monitoring platform as a notification medium for teachers. Through a software engineering approach and literature review of over 40 reputable scientific publications, this system is developed as an innovative and applicable early solution in the context of inclusive education. Theoretical reviews indicate that physiological and vocal behavioral indicators are key signals in detecting stress or emotional outbursts in students with Autism Spectrum Disorder (ASD). This system design is expected to contribute to creating a more adaptive, safe, and responsive learning environment in SLB.
References
Abdullah, N. M., & Al-Allaf, A. F. (2021). A support system for autistic children using Internet
of Things technology. Proceedings of IEEE ACA, 1–5.
https://doi.org/10.1109/ACA52198.2021.9626825
Alban, A. Q., et al. (2023). Heart rate as a predictor of challenging behaviours among children
with autism from wearable sensors in social robot interactions. Robotics, 12(2).
https://doi.org/10.3390/robotics12020055
Arbaoui, F. E. Z. E., Hari, K. E., & Saidi, R. (2023). A review on the application of the Internet of
Things in monitoring autism and assisting parents and caregivers. In Internet of Things in
Healthcare (Vol. B978-0-323-99421-7.00011-8). https://doi.org/10.1016/B978-0-323-
99421-7.00011-8
Arbili, O., Rokach, L., & Cohen, S. (2025). Wearable sensors for ensuring sports safety in children
with autism spectrum disorder: A comprehensive review. Sensors, 25(5).
https://doi.org/10.3390/s25051409
Ardissono, L., Cena, F., & Mauro, N. (2024). Personalized music recommendation for people with
autism spectrum disorder. ACCESS Project Report.
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210248929
Ataguba, G., Chan, G., & Orji, R. (2025). Exploring persuasive games for emotion regulation: A
state-of-the-art scoping review. International Journal of Human-Computer Interaction.
https://doi.org/10.1080/10447318.2025.2483863
Bhat, B. S., et al. (2024). SmartNest: An IoT-based smart cradle system. 2024 International
Conference on Advanced Information Technology (ICAIT).
https://doi.org/10.1109/ICAIT61638.2024.10690625
Bouchouras, G., & Kotis, K. (2025). Integrating artificial intelligence, internet of things, and
sensor-based technologies: A systematic review of methodologies in autism spectrum
disorder detection. Applied Sciences, 18(1). https://doi.org/10.3390/a18010034
Gaitán-Padilla, M., et al. (2024). POF sensor for dynamic physiological evaluation in a dog-
assisted ASD therapy: A case study. EPJ Web of Conferences, 305. https://doi.org/10.1051/epjconf/202430500019
Hameed, M. A., Hassaballah, M., Hosney, M. E., & Alqahtani, A. (2022). An AI-enabled Internet
of Things based autism care system for improving cognitive ability of children with autism
spectrum disorders. Journal of Healthcare Engineering, 2022, 1–12.
https://doi.org/10.1155/2022/2247675
Hernández-Capistrán, J., Alor-Hernández, G., Marín-Vega, H., Bustos-López, M., Sanchez-
Morales, L. N., & Sanchez-Cervantes, J. L. (2024). Commercial wearables for the management of people with autism spectrum disorder: A review. Biosensors, 14(11). https://doi.org/10.3390/bios14110556
Kannapiran, P., & Roy, S. (2024). Smart IoT-based emotion sensing wearable: Revolutionizing
emotional well-being. 2024 International Conference on Machine Learning and Computational Computing (ICMACC).
https://doi.org/10.1109/ICMACC62921.2024.10894273
Kildal, E. S. M., Quintana, D. S., Szabo, A., Tronstad, C., Andreassen, O., Nærland, T., & Hassel,
B. (2023). Heart rate monitoring to detect acute pain in non-verbal patients: A study
protocol for a randomized controlled clinical trial. BMC Psychiatry, 23.
https://doi.org/10.1186/s12888-023-04757-1
Kim, D., & Kang, P. (2022). Cross-modal distillation with audio–text fusion for fine-grained
emotion classification using BERT and Wav2vec 2.0. Neurocomputing, 520, 273–284.
https://doi.org/10.1016/j.neucom.2022.07.035
Lang, N., et al. (2021). Evaluation of an algorithm for optical pulse detection in children for
application to the Pepper robot. Current Directions in Biomedical Engineering, 7(1).
https://doi.org/10.1515/cdbme-2021-2123
Mehralizadeh, B., Baradaran, B., Nikkhoo, S., Soleiman, P., & Moradi, H. (2023). A sensorized
toy car for autism screening using multi-modal features. Sustainability, 15(10).
https://doi.org/10.3390/su15107790
Mohaini, M. A., Nor, N. S. M., Mohamad, M., Ghazali, N. E., & Saputra, H. M. (2023). IoT-based
instrumented bicycle handlebar for children with autism spectrum disorder. ARPN Journal
of Engineering and Applied Sciences, 105(1), 1227–1232.
https://doi.org/10.37934/aram.105.1.1227
Parvathavarthini, S., et al. (2024). Baby monitoring using IoT and deep learning. 2024
International Conference on Communication, Computing and Networking Technologies
(ICCCNT). https://doi.org/10.1109/ICCCNT61001.2024.10725151
Raja, S. K. S., Balaji, V., Kiruthika, S. U., & Raman, C. J. (2021). An IoT-based system for
supporting children with autism spectrum disorder. i-PACT 2021: International Conference on Advanced Communication Technologies. https://doi.org/10.1109/i-PACT52855.2021.9696959
Riaz, F., Latif, M. F., Shahid, A., & Khalid, S. (2025). Analyzing the potential of physiological
signals for emotion detection in children with autism. 2025 IET Conference.
https://doi.org/10.1049/icp.2025.1109
Subramoni, M., Seshadri, U., & Nattudurai, N. (2024). Utilizing biometrics to recognize emotions
in individuals with autism spectrum disorder. URTC 2024.
https://doi.org/10.1109/URTC65039.2024.10937627
Suresh, K., Ranjith, V., Prathibanandhi, K., & Yaashuwanth, C. (2024). Emotion detection system
for children with autism spectrum disorder based on IoT and deep learning. 2024 IEEE
ICPECTS, 1–6. https://doi.org/10.1109/ICPECTS62210.2024.10780139
Swaminathan, K., Veeman, S., Dhilip Kumar, T., Ezhilarasi, S., Bhuvaneswari, P. T. V., Br, K.,
& Ramesh, P. (2022). Deep learning and IoT based assistance system for autism spectrum
disorder people. Proceedings of IEEE MENACOMM 2022, 1–6.
https://doi.org/10.1109/MENACOMM57252.2022.9998222
Vanaja, D. S., & Raj, J. A. (2025). AI-enhanced IoT tool for emotional and social development in
children with autism. International Journal of Neural Systems, 35(2).
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