Lynn B. McGrath,Anthony Law,Randall Bly,Shwetak N. Patel,Alex T. Mariakakis,Jacob Baudin
申请号:
US16618044
公开号:
US20200129063A1
申请日:
2018.05.31
申请国别(地区):
US
年份:
2020
代理人:
摘要:
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.