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Sep 14, 2023 · In this paper, we evaluate the capability of using videos of a standardized social interaction to differentiate non-verbal behaviors of individuals with and ...
Our study highlights the potential of machine learning on videos of standardized social interactions in supporting clinical diagnosis and the objective and ...
Our study highlights the potential of machine learning on videos of standardized social interactions in supporting clinical diagnosis and the objective and ...
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Saakyan, W., et al., 2023. On Scalable and Interpretable Autism Detection from Social Interaction Behavior. 11th International Conference on Affective Computing ...
On Scalable and Interpretable Autism Detection from Social Interaction Behavior. W Saakyan, M Norden, L Herrmann, S Kirsch, M Lin, S Guendelman, ... 1* ...
Sep 14, 2023 · Saakyan et al.'s paper, "On Scalable and Interpretable Autism Detection from Social Interaction Behavior" wins the audEERING award.
Hanna Drimalla's lab | Bielefeld University - ResearchGate
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On Scalable and Interpretable Autism Detection from Social Interaction Behavior · Full-text available · Conference Paper. Sep 2023; 11th International ...
Oct 2, 2023 · These results demonstrate the potential for digital phenotyping to provide an objective, scalable approach to autism screening in real-world settings.
The SCQ yields subscale scores for communication, reciprocal social interaction, and restricted/repetitive behaviors. Higher scores on this measure indicate ...
These models could assist clinicians in diagnosing autism and alert parents/caregivers for early intervention. The behaviours will be studied in a discrete ...