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 identifies 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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Bibliographische Detailangaben
Hauptverfasser:	Poodeh, Omolbanin Yazdanbakhsh, Hogg, John Alexander, Main, Ian
Format:	Patent
Sprache:	eng
Schlagworte:	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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Beschreibung
Zusammenfassung:	A bedding system uses a convolutional neural network (CNN)-based machine vision to makes adjustments for comfort and/or support. The machine vision process identifies 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.