Bedding System with a CNN Based Machine Vision Process

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 determ...

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Bibliographic Details
Main Authors Main Ian, Hogg John Alexander, Poodeh Omolbanin Yazdanbakhsh
Format Patent
LanguageEnglish
Published 01.02.2018
Subjects
BEDS
CALCULATING
CHAIRS
COFFEE MILLS
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DOMESTIC ARTICLES OR APPLIANCES
FURNITURE
HOUSEHOLD OR TABLE EQUIPMENT
HUMAN NECESSITIES
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
SOFAS
SPICE MILLS
SUCTION CLEANERS IN GENERAL
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Summary: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.
Bibliography:Application Number: US201715679123