DocumentCode :
3752229
Title :
LittleHelper: An augmented reality glass application to assist individuals with autism in job interview
Author :
Qingguo Xu;Sen-ching Samson Cheung;Neelkamal Soares
Author_Institution :
Department of Electrical and Computer Engineering, University of Kentucky, Lexington, KY 40506
fYear :
2015
Firstpage :
1276
Lastpage :
1279
Abstract :
With the rapid increase in the prevalence of autism spectrum disorder (ASD) in 1990s, there are approximately 50,000 individuals with ASD turning 18 years old every year. The community-based employment rate, even for those individuals with higher functioning capabilities, is very low. This can be partly explained by socio-communicative skill deficits which are a hallmark of ASD, such as poor eye-contact and inappropriately modulated speech. There has been little work in developing assistive technology to help individuals with ASD to compensate for these deficits. In this paper, we propose a new system based on a wearable augmented-reality glass platform called LittleHelper to provide customized supports for individuals with ASD in enhancing social communication during a job interview. Using the built-in camera and microphone, LittleHelper can detect the position of the interviewer relative to the center of the camera view, and measure the sound level of the user. Based on these inputs, appropriate visual feedbacks are provided back to the user through the optical head-mounted display.
Keywords :
"Glass","Google","Face","Visualization","Speech","Autism","Cameras"
Publisher :
ieee
Conference_Titel :
Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2015 Asia-Pacific
Type :
conf
DOI :
10.1109/APSIPA.2015.7415480
Filename :
7415480
Link To Document :
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