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AssigneeUniversity of Washington
InventorsLynn B. McGrath, Anthony Law, Randall Bly, Shwetak N. Patel, Alex T. Mariakakis, Jacob Baudin
Estimating the term…
In some embodiments, techniques for using machine learning to enable visible light pupilometry are provided. In some embodiments, a smartphone may be used to create a visible light video recording of a pupillary light reflex (PLR). A machine learning model may be used to detect a size of a pupil in the video recording over time, and the size over time may be presented to a clinician. In some embodiments, a system that includes a smartphone and a box that holds the smartphone in a predetermined relationship to a subject's face is provided. In some embodiments, a sequential convolutional neural network architecture is used. In some embodiments, a fully convolutional neural network architecture is used.
A system, comprising:
A non-transitory computer-readable medium having computer-executable instructions stored thereon that, in response to execution by one or more processors of a computing device, cause the computing device to perform actions for measuring changes in a size of a pupil over time in response to a light stimulus, the actions comprising:
Dependencies are inferred from the claim text.