The SensorTree: Rooting Reliable Autism Diagnoses in Data
Автор: CHOP Research Institute
Загружено: 2019-05-02
Просмотров: 449
Описание: A biometric sensor camera nicknamed the “SensorTree” directly measures with exquisite digital precision and objectivity the outward manifestations of social interaction problems in children with ASD, such as atypical eye contact and reduced nonverbal communication, observable by clinicians. Then, machine learning algorithms turn those granular behaviors into time-synced data, giving autism researchers a highly novel and accurate way to quantify and characterize different dimensions of social impairment.
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