Facial expression interpretation in asd using deep learning
P Salgado, O Banos, C Villalonga - International Work-Conference on …, 2021 - Springer
People with autism spectrum disorder (ASD) are known to show difficulties in the
interpretation of human conversational facial expressions. With the recent advent of artificial
intelligence, and more specifically, deep learning techniques, new possibilities arise in this
context to support people with autism in the recognition of such expressions. This work aims
at developing a deep neural network model capable of recognizing conversational facial
expressions which are prone to misinterpretation in ASD. To that end, a publicly available …
interpretation of human conversational facial expressions. With the recent advent of artificial
intelligence, and more specifically, deep learning techniques, new possibilities arise in this
context to support people with autism in the recognition of such expressions. This work aims
at developing a deep neural network model capable of recognizing conversational facial
expressions which are prone to misinterpretation in ASD. To that end, a publicly available …
[PDF][PDF] Facial expression interpretation in ASD using Deep Learning
C Villalonga - orestibanos.com
People with autism spectrum disorder (ASD) are known to show difficulties in the
interpretation of human conversational facial expressions. With the recent advent of artificial
intelligence, and more specifically, deep learning techniques, new possibilities arise in this
context to support people with autism in the recognition of such expressions. This work aims
at developing a deep neural network model capable of recognizing conversational facial
expressions which are prone to misinterpretation in ASD. To that end, a publicly available …
interpretation of human conversational facial expressions. With the recent advent of artificial
intelligence, and more specifically, deep learning techniques, new possibilities arise in this
context to support people with autism in the recognition of such expressions. This work aims
at developing a deep neural network model capable of recognizing conversational facial
expressions which are prone to misinterpretation in ASD. To that end, a publicly available …
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