Design and Implementation of a Wearable Device for Behavior Monitoring and Early Warning of Children With Autism

Abstract

The prevalence of autism spectrum disorder among children has increased dramatically, highlighting the need for innovative solutions to help caregivers monitor and respond to autistic behaviors. In this paper, we propose a wearable device that integrates IoT sensing technology, wireless communication, and cloud platform visualization development technology to monitor and alert caregivers of repetitive behaviors such as clapping, hair pulling, and head banging, commonly observed in autistic children. The wearable device is equipped with posture recognition technology to monitor and alert dangerous behavior, ensuring the safety of the child. In addition, the device stores data in cloud platforms and provides real-time visualization using the IoT transmission network, allowing caregivers to monitor behavior patterns over time and make informed decisions.