Invention Grant
- Patent Title: Bedding system with a CNN based machine vision process
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Application No.: US15679123Application Date: 2017-08-16
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Publication No.: US10973344B2Publication Date: 2021-04-13
- Inventor: Omolbanin Yazdanbakhsh Poodeh , John Alexander Hogg , Ian Main
- Applicant: XSENSOR Technology Corporation
- Applicant Address: CA Calgary
- Assignee: XSENSOR Technology Corporation
- Current Assignee: XSENSOR Technology Corporation
- Current Assignee Address: CA Calgary
- Agency: Fenwick & West LLP
- Main IPC: A47C31/12
- IPC: A47C31/12 ; G06N3/04 ; G06T7/73 ; A47C27/08 ; A47C21/04 ; A47C21/00 ; A47G9/10 ; A47C31/00 ; A47C27/10 ; G06N3/08

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.
Public/Granted literature
- US20180027988A1 Bedding System with a CNN Based Machine Vision Process Public/Granted day:2018-02-01
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