公开(公告)号：US20230013680A1

公开(公告)日：2023-01-19

申请号：US17955896

申请日：2022-09-29

Applicant: Snap Inc.

Inventor： John James Robertson ,  Zsolt Mathe

IPC: G06F3/04883 ,  G06F3/0346 ,  G06F3/04845 ,  G06F3/0485 ,  G06F3/0486 ,  G06N3/04 ,  G06N3/08

Abstract: A neural network system includes an eyewear device. The eyewear device has a movement tracker, such as an accelerometer, gyroscope, or an inertial measurement unit for measuring acceleration and rotation. The neural network system tracks, via the movement tracker, movement of the eyewear device from at least one finger contact inputted from a user on an input surface. The neural network system identifies a finger gesture by detecting at least one detected touch event based on variation of the tracked movement of the eyewear device over a time period. The neural network system adjusts the image presented on the image display of the eyewear device based on the identified finger gesture. The neural network system can also detect whether the user is wearing the eyewear device and identify an activity of the user wearing the eyewear device based on the variation of the tracked movement over the time period.

公开(公告)号：US11500536B2

公开(公告)日：2022-11-15

申请号：US17245997

申请日：2021-04-30

Applicant: Snap Inc.

Inventor： John James Robertson ,  Zsolt Mathe

IPC: G06F3/0488 ,  G06F3/0346 ,  G06F3/0484 ,  G06F3/0485 ,  G06F3/0486 ,  G06N3/04 ,  G06N3/08 ,  G06F3/04883 ,  G06F3/04845

Abstract: A neural network system includes an eyewear device. The eyewear device has a movement tracker, such as an accelerometer, gyroscope, or an inertial measurement unit for measuring acceleration and rotation. The neural network system tracks, via the movement tracker, movement of the eyewear device from at least one finger contact inputted from a user on an input surface. The neural network system identifies a finger gesture by detecting at least one detected touch event based on variation of the tracked movement of the eyewear device over a time period. The neural network system adjusts the image presented on the image display of the eyewear device based on the identified finger gesture. The neural network system can also detect whether the user is wearing the eyewear device and identify an activity of the user wearing the eyewear device based on the variation of the tracked movement over the time period.

公开(公告)号：US10996846B2

公开(公告)日：2021-05-04

申请号：US16569884

申请日：2019-09-13

Applicant: Snap Inc.

Inventor： John James Robertson ,  Zsolt Mathe

IPC: G06F3/0488 ,  G06F3/0485 ,  G06F3/0484 ,  G06F3/0486 ,  G06F3/0346 ,  G06N3/04 ,  G06N3/08

Abstract: A neural network system includes an eyewear device. The eyewear device has a movement tracker, such as an accelerometer, gyroscope, or an inertial measurement unit for measuring acceleration and rotation. The neural network system tracks, via the movement tracker, movement of the eyewear device from at least one finger contact inputted from a user on an input surface. The neural network system identifies a finger gesture by detecting at least one detected touch event based on variation of the tracked movement of the eyewear device over a time period. The neural network system adjusts the image presented on the image display of the eyewear device based on the identified finger gesture. The neural network system can also detect whether the user is wearing the eyewear device and identify an activity of the user wearing the eyewear device based on the variation of the tracked movement over the time period.

公开(公告)号：US20210255763A1

公开(公告)日：2021-08-19

申请号：US17245997

申请日：2021-04-30

Applicant: Snap Inc.

Inventor： John James Robertson ,  Zsolt Mathe

IPC: G06F3/0488 ,  G06F3/0346 ,  G06F3/0484 ,  G06F3/0485 ,  G06F3/0486 ,  G06N3/04 ,  G06N3/08

Abstract: A neural network system includes an eyewear device. The eyewear device has a movement tracker, such as an accelerometer, gyroscope, or an inertial measurement unit for measuring acceleration and rotation. The neural network system tracks, via the movement tracker, movement of the eyewear device from at least one finger contact inputted from a user on an input surface. The neural network system identifies a finger gesture by detecting at least one detected touch event based on variation of the tracked movement of the eyewear device over a time period. The neural network system adjusts the image presented on the image display of the eyewear device based on the identified finger gesture. The neural network system can also detect whether the user is wearing the eyewear device and identify an activity of the user wearing the eyewear device based on the variation of the tracked movement over the time period.