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  4. Portable Stress Detection System for Autistic Children Using Fuzzy Logic
 
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Portable Stress Detection System for Autistic Children Using Fuzzy Logic

Journal
Jurnal Nasional Teknik Elektro
ISSN
2407-7267
Date Issued
2024
Author(s)
Melinda Melinda
Verdy Setiawan
Yunidar Yunidar
Gopal Sakarkar
Nurlida Basir 
Universiti Sains Islam Malaysia 
DOI
10.25077/jnte.v13n2.1203.2024
Abstract
Stress is prone to occur in children with autism. According to the study, around 85% of children who have autism suffer from anxiety disorders that can exacerbate their condition, leading to self-harm and harm to those in their vicinity. Heart rate, skin conductance, and finger temperature changes occur during stress. In this paper, we design a system to monitor heart rate, body temperature, and skin conductance to detect signs of stress. Subsequently, the measurement data is processed using the fuzzy logic (FL) method as a decision-maker
algorithm. In particular, we use 64 fuzzy rules with membership functions for each parameter. Parameter measurement results will be displayed using a widget called Gauge, while stress conditions will be displayed using a label widget. The results will be displayed on the Blynk application with an IoT system and viewed remotely via Android devices. The test was conducted on five children aged 5-9 years with varying body conditions. From the test results, the mean accuracy of the heart rate sensor was 95.01%, the mean temperature sensor accuracy was 97.7%, and the mean conductance sensor accuracy was 93.75%. The stress levels range from a minimum of 25% to a maximum of 75%. These findings indicate that the developed tool has performed effectively, and it is feasible to monitor its operation remotely.
Subjects

Stress

Heart rate

Body temperature

Skin conductance

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