Method and system to quickly determine a weight

US10024709B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10024709-B2
Application numberUS-201615202261-A
CountryUS
Kind codeB2
Filing dateJul 5, 2016
Priority dateJul 5, 2016
Publication dateJul 17, 2018
Grant dateJul 17, 2018

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  1. Title

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  2. Abstract

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  5. First independent claim

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  6. CPC / IPC classifications

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Abstract

Official abstract text for this publication.

A method for determining the weight of an entity/item to be weighed on a weighing device ( 1 ), the weighing device comprising at least a weight sensor and a control unit ( 4 ), the method comprising the following steps: /a/ collecting weight raw samples (WSi) of the total weight sensed at the weight sensor(s), at a sampling frequency (F 0 ), and converting each of the weight raw samples (WSi) into digitalized weight raw samples (DSi), /b/ entering sequentially each of the digitalized weight raw samples (DSi) into a Butterworth filter, the latter issuing filtered weight samples (FSi), /c/ defining a rolling window (RW) containing a parametrized number NS of latest filtered weight samples (FSi), /d1/ determining, in the rolling window, the minimum (MIN) and maximum (MAX) values of filtered weight samples, /d2/ comparing the value of MAX−MIN with regard to a parametrized Threshold (T), /e/ if MAX−MIN is greater than Threshold (T), repeat steps /a/ to /d2/, and as soon as MAX−MIN is less than Threshold (T), output a final weight value (DV), obtained from one or more of the most recent filtered weight samples.

First claim

Opening claim text (preview).

The invention claimed is: 1. A weighing device, formed as a bathroom scale or a baby scale, comprising at least a weight sensor and a control unit, the control unit being configured to: /a/ collect weight raw samples (WSi) of the total weight sensed at the load cells, at a sampling frequency (F 0 ), and converting each of the weight raw samples (WSi) into digitalized weight raw samples (DSi), /b/ enter sequentially each of the digitalized weight raw samples (DSi) into a Butterworth filter, the latter issuing filtered weight samples (FSi), /c/ define a rolling window (RW) containing the last NS filtered weight samples (FSi), NS being a parametrized number, /d1/ determine, in the rolling window, the minimum (MIN) and maximum (MAX) values of filtered weight samples, /d2/ compare the value of MAX-MIN with regard to a parametrized Threshold (T), /e/ and as soon as MAX-MIN is less than Threshold (T), output a final weight value (DV), obtained from one or more of the most recent filtered weight samples. 2. The device of claim 1 , further comprising the at least weight sensor is formed as a plurality of load cells and further comprising a display. 3. The device of claim 1 , further comprising an impedance sensor. 4. A system comprising a device as defined in claim 1 , and further comprising a smartphone ( 9 ) configured to display data and weight histograms. 5. A method for determining the weight of an entity/item to be weighed on a weighing device ( 1 ), the weighing device comprising at least a weight sensor and a control unit ( 4 ), the method comprising the following steps: /a/ collecting weight raw samples (WSi) of the total weight sensed at the weight sensor(s), at a sampling frequency (F 0 ), and converting each of the weight raw samples (WSi) into digitalized weight raw samples (DSi), /b/ entering sequentially each of the digitalized weight raw samples (DSi) into a Butterworth filter, the latter issuing filtered weight samples (FSi), /c/ defining a rolling window (RW) containing a parametrized number NS of latest filtered weight samples (FSi), /d1/ determining, in the rolling window, the minimum (MIN) and maximum (MAX) values of filtered weight samples, /d2/ comparing the value of MAX−MIN with regard to a parametrized Threshold (T), /e/ if MAX−MIN is greater than Threshold (T), repeat steps /a/ to /d2/, and as soon as MAX−MIN is less than Threshold (T), output a final weight value (DV), obtained from one or more of the most recent filtered weight samples. 6. The method of claim 5 , wherein the entity/item is a human individual standing or lying on the weighing device, and wherein at step /e/ the final weight value (DV) is displayed on a display. 7. The method of claim 6 , wherein the Butterworth filter is a second order Butterworth filter. 8. The method of claim 6 , wherein the sampling frequency (F 0 ) is comprised between 20 Hz and 500 Hz. 9. The method of claim 6 , wherein the number NS is less than 100. 10. The method of claim 6 , wherein the parametrized Threshold (T) is predefined and comprised between 100 g and 200 g. 11. The method of claim 6 , wherein the parametrized Threshold (T) is set according to the weight range. 12. The method of claim 5 , wherein the outputted final weight value (DV) is equal to the average of the NS most recent filtered weight sample. 13. The method of claim 5 , wherein all the steps are performed subsequently at the sampling frequency (F 0 ).

Assignees

Inventors

Classifications

  • Circuits specially adapted therefor · CPC title

  • G01G19/44Primary

    for weighing persons · CPC title

  • Arrangements for correcting or for compensating for unwanted effects · CPC title

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What does patent US10024709B2 cover?
A method for determining the weight of an entity/item to be weighed on a weighing device ( 1 ), the weighing device comprising at least a weight sensor and a control unit ( 4 ), the method comprising the following steps: /a/ collecting weight raw samples (WSi) of the total weight sensed at the weight sensor(s), at a sampling frequency (F 0 ), and converting each …
Who is the assignee on this patent?
Withings
What technology area does this patent fall under?
Primary CPC classification G01G19/44. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jul 17 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).