US 12,246,726 B2
System and method for sensing with millimeter waves for sleep position detection, vital signs monitoring and/or driver detection
George Shaker, Waterloo (CA); Mostafa Alizadeh, Kitchener (CA); and Hajar Abedi, Waterloo (CA)
Filed by George Shaker, Waterloo (CA); Mostafa Alizadeh, Kitchener (CA); and Hajar Abedi, Waterloo (CA)
Filed on Dec. 31, 2020, as Appl. No. 17/139,212.
Application 17/139,212 is a continuation in part of application No. 15/819,833, filed on Nov. 21, 2017, granted, now 11,380,118.
Claims priority of provisional application 62/497,430, filed on Nov. 21, 2016.
Prior Publication US 2021/0197834 A1, Jul. 1, 2021
Int. Cl. 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)
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)] 5 Claims
OG exemplary drawing
 
1. A sensor system for sleep position detection comprising:
at least one transmitter configured to transmit electromagnetic waves between 30 GHz and 300 GHz;
at least one receiver configured to receive the electromagnetic waves from the at least one transmitter, wherein the at least one transmitter and the at least one receiver are positioned in relation to a person sleeping such that the at least one 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;
wherein analyzing the transmitted and received electromagnetic waves includes: 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.