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May 23-24, 2019 | Vienna, Austria
Robotics and Artificial Intelligence
2nd International Conference on
Research & Reviews: Journal of Engineering and Technology | ISSN: 2319-9873 | Volume 8
Emotionally intelligent AI systems for children with autism spectrum disorder
S Jerritta
Vels Institute of Science, Technology and Advanced Studies (VISTAS), India
Emotion regulation in people with Autism Spectrum
Disorder (ASD) is challenging for family, caretakers and
peoplearoundthemduetoextremebehaviorpatternssuchas
aggression, self-injury, defiance and outbursts. Understanding
the underlying emotional states of the children can help
care takers, parents, teachers and other concerned persons
to intervene and formulate personalized preventive and
reactive strategies. A number of wearable devices like smart
watches and smart belts are used for monitoring the health
and related parameters. Researchers in Human Computer
Interaction (HCI) have used these devices to identify the
hidden emotional state of the user by acquiring physiological
data (Electrocardiogram (ECG), Electromyogram (EMG) etc.,)
as well as visible behavioral information (posture, gesture,
activity levels etc.,) to predict the emotional state of the user.
This research aims to develop an AI device that would predict
the internal state of children suffering from Autism Spectrum
Disorder (ASD) using the Heart Rate Variability (HRV) signals
derived Electrocardiogram signals (ECG). Data is collected
corresponding to the positive and negative valance of
children with ASD and controls. Results indicate higher order
statistical features to significantly demarcate the positive and
negative states of childrenwithASD. Validating the results and
embedding the algorithm intowearable AI devices can help in
identifying the internal component of the child’s behavior and
provide personalized care.
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JET, Volume 8 | ISSN: 2319-9873