US 12,320,914 B2
Methods for detecting occupancy and determining value chain recommendations using radio signals
Stephen Paul Elias, Nashua, NH (US); Eric Roger Giler, Boston, MA (US); Katherine Lavin Hall, Arlington, MA (US); and Charles Howard Cella, Pembroke, MA (US)
Assigned to STRONG FORCE VCN PORTFOLIO 2019, LLC, Fort Lauderdale, FL (US)
Filed by STRONG FORCE VCN PORTFOLIO 2019, LLC, Fort Lauderdale, FL (US)
Filed on May 27, 2021, as Appl. No. 17/332,500.
Application 17/332,500 is a continuation of application No. PCT/US2020/041151, filed on Jul. 8, 2020.
Claims priority of provisional application 62/871,235, filed on Jul. 8, 2019.
Prior Publication US 2021/0356576 A1, Nov. 18, 2021
Int. Cl. G01S 7/00 (2006.01); F24F 11/49 (2018.01); F24F 120/12 (2018.01); F24F 120/14 (2018.01); G01S 13/00 (2006.01); G01S 13/56 (2006.01); G05B 15/02 (2006.01); G06F 18/214 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06Q 10/0631 (2023.01); G06Q 10/0639 (2023.01); G06Q 10/08 (2024.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01)
CPC G01S 7/006 (2013.01) [F24F 11/49 (2018.01); G01S 13/003 (2013.01); G01S 13/56 (2013.01); G05B 15/02 (2013.01); G06F 18/214 (2023.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 10/06312 (2013.01); G06Q 10/06315 (2013.01); G06Q 10/06398 (2013.01); G06Q 10/08 (2013.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01); F24F 2120/12 (2018.01); F24F 2120/14 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A method for determining occupancy in a space, the method comprising:
transmitting radio signals over a channel in the space;
receiving the transmitted radio signals that have traveled through the space; and
implementing with at least one processor an occupancy-centric algorithm that determines occupancy in the space based on the radio signals, that determines channel state information based on the radio signals transmitted over the channel, that determines occupancy in the space based on the channel state information, that determines a value chain recommendation based on the occupancy in the space of a value chain network, and that outputs an occupancy signal based on the determined occupancy and the value chain recommendation,
wherein the occupancy-centric algorithm is a machine learning algorithm that analyzes the channel state information to determine the occupancy in the space, the machine learning algorithm including weights assigned to features of the channel state information, each of the weights representing how indicative of human presence its corresponding feature is, and
wherein the occupancy-centric algorithm is adapted based on known occupancy in the space to adjust the assigned weights of the machine learning algorithm, the known occupancy is based on a signal received from a sensor that is associated with the space, and the signal indicates the known occupancy in the space as detected by the sensor.