AEGIS: A real-time multimodal augmented reality computer vision based system to assist facial expression recognition for individuals with autism spectrum disorder
James Ren Hou Lee, Alexander Wong

TL;DR
This paper introduces AEGIS, a real-time multimodal AR system utilizing computer vision and deep neural networks to assist individuals with autism in recognizing facial expressions, enhancing their social interaction skills.
Contribution
The paper presents a novel AR-based system combining spatial and temporal neural networks for real-time facial expression recognition tailored for ASD support.
Findings
AEGIS accurately predicts facial expressions in real-time.
The system is deployable on various devices including smartphones and smartglasses.
AEGIS improves social cue recognition for individuals with ASD.
Abstract
The ability to interpret social cues comes naturally for most people, but for those living with Autism Spectrum Disorder (ASD), some experience a deficiency in this area. This paper presents the development of a multimodal augmented reality (AR) system which combines the use of computer vision and deep convolutional neural networks (CNN) in order to assist individuals with the detection and interpretation of facial expressions in social settings. The proposed system, which we call AEGIS (Augmented-reality Expression Guided Interpretation System), is an assistive technology deployable on a variety of user devices including tablets, smartphones, video conference systems, or smartglasses, showcasing its extreme flexibility and wide range of use cases, to allow integration into daily life with ease. Given a streaming video camera source, each real-world frame is passed into AEGIS, processed…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAutism Spectrum Disorder Research · Assistive Technology in Communication and Mobility · Tactile and Sensory Interactions
