The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 11, 2025

Filed:

Dec. 31, 2020
Applicants:

George Shaker, Waterloo, CA;

Mostafa Alizadeh, Kitchener, CA;

Hajar Abedi, Waterloo, CA;

Inventors:

George Shaker, Waterloo, CA;

Mostafa Alizadeh, Kitchener, CA;

Hajar Abedi, Waterloo, CA;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 40/08 (2012.01); G01S 3/781 (2006.01); G01S 7/292 (2006.01); G06N 20/10 (2019.01); G06V 10/143 (2022.01); G06V 20/52 (2022.01); G06V 40/10 (2022.01); G06V 40/20 (2022.01); G06V 40/12 (2022.01); G06V 40/13 (2022.01);
U.S. Cl.
CPC ...
B60W 40/08 (2013.01); G01S 3/781 (2013.01); G01S 7/292 (2013.01); G06N 20/10 (2019.01); G06V 10/143 (2022.01); G06V 20/52 (2022.01); G06V 40/10 (2022.01); G06V 40/25 (2022.01); B60W 2040/0827 (2013.01); B60W 2420/50 (2013.01); B60W 2540/223 (2020.02); B60W 2540/229 (2020.02); G06V 40/1312 (2022.01); G06V 40/1341 (2022.01);
Abstract

A sensor and method for sleep position detection including: a transmitter configured to transmit electromagnetic waves between 30 GHz and 300 GHz; a receiver configured to receive the electromagnetic waves from the transmitter, wherein the transmitter and receiver are positioned in relation to person sleeping such that the receiver receives reflected electromagnetic waves; and a control station configured to analyze the transmitted and received electromagnetic waves to determine a position of the person sleeping. In some cases, the method may include: forming a radar cube of results; performing a fast fourier transform (FFT) on the radar cube; applying a constant false alarm rate (CFAR) processor to the FFT data; determining a capon gradient; forming a 5-dimensional feature space based on the capon gradient; and conducting an optimization of SVM.


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