Emotional perception of individuals with Autism Spectrum disorder through Machine learning and smart watch
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Abstract
This paper proposes a system that analyses the requirements of people with autism spectrum
disorder and to alter the caretaker to acknowledge the present feeling in them to ease sure
activity problems. This may be achieved through sensible devices. The smartwatch system
monitors the feeling through the galvanic skin response and graphical record, that measures the
electrical physical phenomenon of the skin and electrical signals from the scalp of the brain. The
signals area unit digitized. Then acceptable emotions area unit classified through the Support
Vector Machine algorithmic program. The intensity and therefore the form of feeling area unit
flashed on the caretaker's communication device
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