Cognitive function evaluation system and learning method
AssigneeOsaka University
InventorsYasushi YAGI, Shuqiong WU, Fumio OKURA, Yasushi MAKIHARA, Kota AOKI
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AssigneeOsaka University
InventorsYasushi YAGI, Shuqiong WU, Fumio OKURA, Yasushi MAKIHARA, Kota AOKI
Estimating the term…
Cognitive function evaluation system (100) includes motion detector (20), answer detector (30), and evaluator (40). Motion detector (20) generates frames representing three-dimensional coordinates of joints of subject (SJ) who is performing a predetermined task. The predetermined task includes a physical task and a cognitive task that requires subject (SJ) to answer questions on a cognitive examination. Motion detector (20) capture images of subject (SJ) to generate the frames. The frames are a series of frames generated in time order. Answer detector (30) detects answers to questions on the cognitive examination by subject (SJ). Evaluator (40) outputs motion features based on the frames and evaluates a cognitive function of subject (SJ) based on the motion features and the answers by subject (SJ). The motion features represent a feature of a spatial positional relationship and a feature of temporal variations, of the joints of subject (SJ) in the captured images.
A cognitive function evaluation system, comprising:
A learning method that determines parameter values for a neural network that classifies a subject as positive or negative, wherein the learning method comprises determining the parameter values through a loss function that optimizes a sum of sensitivity and specificity, the sensitivity describing a rate of the subject being identified as true positive, the specificity describing a rate of the subject being identified as true negative.
A learning method that determines parameter values for a neural network, wherein
Dependencies are inferred from the claim text.