Bedding system with a CNN based machine vision process
US10973344B2 · kind B2 · utility
3Cited by
11References
17Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Aug 16, 2017 |
| Grant date | Apr 13, 2021 |
| Priority date | — |
| Expiry date | Jan 10, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30196
- WIPO fieldFurniture, games
- WIPO sectorOther fields
Abstract
A bedding system uses a convolutional neural network (CNN)-based machine vision to makes adjustments for comfort and/or support. The machine vision process identities a body position by using a trained CNN that receives a pressure image and identifies a body position. The body position may be determined by classifying the pressure image into a predetermined body position classification. The machine vision process includes at least one trained CNN that determines joint locations. The machine vision tracks pressure accumulated at joints over time.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.