公开(公告)号：US11308629B2

公开(公告)日：2022-04-19

申请号：US17084114

申请日：2020-10-29

Applicant: ADOBE INC.

Inventor： Max Gray Edell ,  David E. Benge

IPC: G06T7/00 ,  G06T7/20 ,  G06F3/01 ,  G06N3/08 ,  G06K9/00 ,  G06N5/04

Abstract: Methods and systems are provided for training a neural network to track viewer engagement with a non-interactive display. Sensor data is obtained from one or more sensors, such as cameras, associated with a display device, and once a face is detected within the sensor data, a display sequence is initiated. The display sequence includes at least a first frame with a first visual feature and a second frame with a second visual feature. Using the sensor data obtained during presentation of the display sequence, viewer engagement with the sequence is tracked by determining eye movements and/or head movements. The detected eye movement and/or head movement is used to determine whether the person was actively engaged with the display sequence.

公开(公告)号：US20210065378A1

公开(公告)日：2021-03-04

申请号：US17084114

申请日：2020-10-29

Applicant: ADOBE INC.

Inventor： Max Gray Edell ,  David E. Benge

IPC: G06T7/20 ,  G06F3/01 ,  G06N3/08 ,  G06K9/00 ,  G06N5/04

Abstract: Methods and systems are provided for training a neural network to track viewer engagement with a non-interactive display. Sensor data is obtained from one or more sensors, such as cameras, associated with a display device, and once a face is detected within the sensor data, a display sequence is initiated. The display sequence includes at least a first frame with a first visual feature and a second frame with a second visual feature. Using the sensor data obtained during presentation of the display sequence, viewer engagement with the sequence is tracked by determining eye movements and/or head movements. The detected eye movement and/or head movement is used to determine whether the person was actively engaged with the display sequence.