公开(公告)号：US20180089531A1

公开(公告)日：2018-03-29

申请号：US15579226

申请日：2016-06-02

申请人： InnerEye Ltd.

发明人： Amir B. GEVA ,  Leon Y. DEOUELL ,  Sergey VAISMAN ,  Omri HARISH ,  Ran EI MANOR ,  Eitan NETZER ,  Shani SHALGI

IPC分类号： G06K9/46 ,  G06K9/62 ,  G06K9/20 ,  A61B5/11 ,  A61B5/0484 ,  A61B5/00 ,  A61B5/04

CPC分类号： G06K9/4628 ,  A61B5/04017 ,  A61B5/04842 ,  A61B5/1103 ,  A61B5/486 ,  A61B5/7264 ,  G06F3/01 ,  G06F3/015 ,  G06K9/00671 ,  G06K9/2054 ,  G06K9/6247 ,  G06K9/627 ,  G06K9/6272 ,  G06N3/04 ,  G06N3/0454 ,  G06N3/08 ,  G06N3/088 ,  G06N7/005 ,  G16H30/40

摘要： A method of classifying an image is disclosed. The method comprises: applying a computer vision procedure to the image to detect therein candidate image regions suspected as being occupied by a target; presenting to an observer each candidate image region as a visual stimulus, while collecting neurophysiological signals from a brain of the observer; processing the neurophysiological signals to identify a neurophysiological event indicative of a detection of the target by the observer; and determining an existence of the target in the image is based, at least in part, on the identification of the neurophysiological event.

公开(公告)号：US20230185377A1

公开(公告)日：2023-06-15

申请号：US18107037

申请日：2023-02-08

申请人： InnerEye Ltd.

发明人： Amir B. GEVA ,  Eitan NETZER ,  Ran El MANOR ,  Sergey VAISMAN ,  Leon Y. DEOUELL ,  Uri ANTMAN

IPC分类号： G06F3/01 ,  G06N20/20 ,  G06N3/088 ,  G06T7/00 ,  G06F18/22 ,  G06F18/23 ,  G06F18/214 ,  G06F18/2411 ,  G06N3/045 ,  G06V10/764 ,  G06V10/778 ,  G06V10/82 ,  G06V10/44 ,  G06V10/20

CPC分类号： G06F3/015 ,  G06F3/017 ,  G06F18/22 ,  G06F18/23 ,  G06F18/214 ,  G06F18/2411 ,  G06N3/045 ,  G06N3/088 ,  G06N20/20 ,  G06T7/0012 ,  G06V10/82 ,  G06V10/255 ,  G06V10/454 ,  G06V10/764 ,  G06V10/7788 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30016

摘要： A method of training an image classification neural network comprises: presenting a first plurality of images to an observer as a visual stimulus, while collecting neurophysiological signals from a brain of the observer; processing the neurophysiological signals to identify a neurophysiological event indicative of a detection of a target by the observer in at least one image of the first plurality of images; training the image classification neural network to identify the target in the image, based on the identification of the neurophysiological event; and storing the trained image classification neural network in a computer-readable storage medium.

公开(公告)号：US20190294915A1

公开(公告)日：2019-09-26

申请号：US16413651

申请日：2019-05-16

申请人： InnerEye Ltd.

发明人： Amir B. GEVA ,  Leon Y. DEOUELL ,  Sergey VAISMAN ,  Omri HARISH ,  Ran EI MANOR ,  Eitan NETZER ,  Shani SHALGI

IPC分类号： G06K9/46 ,  G06K9/00 ,  G06F3/01 ,  G06K9/62 ,  G06K9/20 ,  A61B5/00 ,  G06N3/08 ,  G06N3/04 ,  A61B5/04 ,  A61B5/0484 ,  A61B5/11

摘要： A method of classifying an image is disclosed. The method comprises: applying a computer vision procedure to the image to detect therein candidate image regions suspected as being occupied by a target; presenting to an observer each candidate image region as a visual stimulus, while collecting neurophysiological signals from a brain of the observer; processing the neurophysiological signals to identify a neurophysiological event indicative of a detection of the target by the observer; and determining an existence of the target in the image is based, at least in part, on the identification of the neurophysiological event.

公开(公告)号：US20230371872A1

公开(公告)日：2023-11-23

申请号：US18023059

申请日：2021-08-25

申请人： InnerEye Ltd.

发明人： Yuval HARPAZ ,  Amir B. GEVA ,  Leon Y. DEOUELL ,  Sergey VAISMAN ,  Yaar SHALOM ,  Michael OTSUP ,  Yonatan MEIR

IPC分类号： A61B5/16 ,  A61B5/377 ,  A61B5/374 ,  A61B5/0205 ,  A61B5/00 ,  G06N3/08

CPC分类号： A61B5/165 ,  A61B5/377 ,  A61B5/374 ,  A61B5/0205 ,  A61B5/7267 ,  G06N3/08

摘要： A method of estimating attention comprises: receiving encephalogram (EG) data corresponding to signals collected from a brain of a subject synchronously with stimuli applied to the subject. The EG data are segmented into segments, each corresponding to a single stimulus. The method also comprises dividing each segment of the EG data into a first time-window having a fixed beginning relative to a respective stimulus, and a second time-window having a varying beginning relative to the respective stimulus. The method also comprises processing the time-windows to determine the likelihood for a given segment to describe an attentive state of the brain.