Developing a device to predict autistic meltdowns

Asmi Kumar, Georgia, USA 13-15

Autism affects one in every 68 US children, making it extremely common. As effects of autism such as seizures and meltdowns can be highly unpredictable, it is important to design a way to predict, track, and analyze these outbursts. For my project, I built a prototype of a wearable device that tracks the heart rate of users in order to predict a possible autistic meltdown in advance, sends that information to an application, and outputs a push notification alert if needed.

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