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FUSION-BASED SPATIO-TEMPORAL FEATURE DETECTION FOR ROBUST CLASSIFICATION OF INSTANTANEOUS CHANGES IN PUPIL RESPONSE AS A CORRELATE OF COGNITIVE RESPONSE
FUSION-BASED SPATIO-TEMPORAL FEATURE DETECTION FOR ROBUST CLASSIFICATION OF INSTANTANEOUS CHANGES IN PUPIL RESPONSE AS A CORRELATE OF COGNITIVE RESPONSE
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机译：基于融合的时空特征检测用于小学生反应中瞬时变化的鲁棒分类，作为认知反应的相关性
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摘要
A computationally efficient and robust approach for monitoring the instantaneous pupil response as a correlate to significant cognitive response to relevant stimuli derives data samples d(n) of the pupil diameter (area), v(n) of pupil velocity and a(n) of pupil acceleration from the pupillary response and segments the data samples into a sequence of time-shifted windows. A feature extractor extracts a plurality of spatio-temporal pupil features from the data samples from the response and baseline periods in each window. A classifier trained to detect patterns of the extracted spatio-temporal pupil features for relevant stimuli generates an output indicative of the occurrence of absence of a significant cognitive response in the subject to a relevant stimulus.
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