2017
DOI: 10.3389/fped.2017.00145
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Feasibility of an Autism-Focused Augmented Reality Smartglasses System for Social Communication and Behavioral Coaching

Abstract: BackgroundAutism spectrum disorder (ASD) is a childhood-onset neurodevelopmental disorder with a rapidly rising prevalence, currently affecting 1 in 68 children, and over 3.5 million people in the United States. Current ASD interventions are primarily based on in-person behavioral therapies that are both costly and difficult to access. These interventions aim to address some of the fundamental deficits that clinically characterize ASD, including deficits in social communication, and the presence of stereotypie… Show more

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Cited by 132 publications
(149 citation statements)
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“…We have also seen research on using facial expressions recognition to obtain affective feedback [30,[111][112][113][114][115][116]. In some research, head orientation and movement are tracked using inertial sensors embedded in smart glasses instead of cameras [117]. While the tracking itself helps tremendously in producing realistic virtual avatar faces, there is still an open research issue in how to accurately understand the captured motion with respect to nonverbal communicative behaviors of a participant with the exception of eye gaze (and to some extend facial expressions).…”
Section: Facial Motion/expression Trackingmentioning
confidence: 99%
“…We have also seen research on using facial expressions recognition to obtain affective feedback [30,[111][112][113][114][115][116]. In some research, head orientation and movement are tracked using inertial sensors embedded in smart glasses instead of cameras [117]. While the tracking itself helps tremendously in producing realistic virtual avatar faces, there is still an open research issue in how to accurately understand the captured motion with respect to nonverbal communicative behaviors of a participant with the exception of eye gaze (and to some extend facial expressions).…”
Section: Facial Motion/expression Trackingmentioning
confidence: 99%
“…While there are many different types of assistive technology, the portability, capability, and ubiquity of smartphone and tablet devices has led to considerable growth in assistive apps for these devices [3,4]. More recent technological advances have resulted in lightweight smartglasses: face-worn computers with a visual display and in-built sensors [5-7] that can also deliver assistive apps [8,9]. …”
Section: Introductionmentioning
confidence: 99%
“…They are also sensor-rich and can collect a wide range of quantitative user data [9,11,12]. These data can be monitored and analyzed on a real-time basis, allowing for the smartglasses to dynamically change the user experience to optimize learning—effectively placing the user and the smartglasses in a closed feedback loop [8,13,14]. Given the proximity of smartglasses to the sensory organs contained in the human head, this type of computing may enable a higher level of human-computer interaction than other devices [13].…”
Section: Introductionmentioning
confidence: 99%
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