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@article{180063,
        author = {SRINITHI M and PRIYADHARSHINI S and NARMATHA V and R. SHAMLI},
        title = {Sensor-based real-time monitoring and intervention system for stereotypic behaviours in children with autism spectrum disorder},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {174-177},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180063},
        abstract = {Stereotypic behaviours, characterized by 
repetitive and non-functional motor actions, are 
common in individuals with Autism Spectrum Disorder 
(ASD) and often indicate greater symptom severity. 
These behaviours, such as hand-flapping or body 
rocking, typically emerge in early childhood and can 
persist into adulthood, impacting social and cognitive 
development. While behavioural therapies are the 
primary mode of intervention, recent advances in 
neurobiology and sensor technology offer new 
opportunities for real-time monitoring and response. 
This paper proposes a sensor-based system designed to 
detect and respond to stereotypic behaviours in children 
with ASD. The system integrates an accelerometer, tilt 
sensor, and heart rate sensor to monitor physical activity 
and physiological arousal. Sensor data are processed by 
a microcontroller, which activates a vibration motor and 
auditory feedback when predefined thresholds are 
exceeded. An LCD display presents real-time sensor 
readings to caregivers or therapists. This low-cost, non
invasive system supports early detection and 
behavioural redirection, enhancing the effectiveness of 
ASD management strategies. Future work will focus on 
clinical testing, algorithm refinement and adaptive 
feedback mechanisms.},
        keywords = {Autism Spectrum Disorder (ASD),  Stereotypic Behaviour, Real-Time Monitoring, Sensor Based System, PIC Microcontroller, Behavioural  Intervention, Assistive Technology.},
        month = {May},
        }