Event Title

Real-time Simultaneous Recurrent Neural Network Implementation for Robotmediated Intervention in Autism Spectrum Disorders

Student Presenter Information

Megan Witherow, Old Dominion University

Presentation Type

Event

Description/Abstract

Children with Autism Spectrum Disorder (ASD) face challenges in social communication and interaction that may be helped through computer-based intervention. The Vision Lab at Old Dominion University has been developing a novel adaptive intervention paradigm targeting facial oddity biomarkers following the Lab's previous study of the spontaneous facial responses of children with ASD. As a part of this paradigm, the Simultaneous Recurrent Neural Network (SRN) developed by the Vision Lab is implemented in Python for real-time facial expression recognition in a novel, robotmediated intervention platform for children with ASD.

Comments

Mentor: Dr. Khan Iftekharuddin
Electrical and Computer Engineering

Location

Learning Commons @ Perry Library, Northwest Atrium

Start Date

18-2-2017 8:00 AM

End Date

18-2-2017 12:30 PM

Full Text of Presentation

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Feb 18th, 8:00 AM Feb 18th, 12:30 PM

Real-time Simultaneous Recurrent Neural Network Implementation for Robotmediated Intervention in Autism Spectrum Disorders

Learning Commons @ Perry Library, Northwest Atrium

Children with Autism Spectrum Disorder (ASD) face challenges in social communication and interaction that may be helped through computer-based intervention. The Vision Lab at Old Dominion University has been developing a novel adaptive intervention paradigm targeting facial oddity biomarkers following the Lab's previous study of the spontaneous facial responses of children with ASD. As a part of this paradigm, the Simultaneous Recurrent Neural Network (SRN) developed by the Vision Lab is implemented in Python for real-time facial expression recognition in a novel, robotmediated intervention platform for children with ASD.