US 12,236,167 B2
System and method of embodied stress analysis
Michael William Sewell, Louisville, KY (US)
Assigned to Gresham Smith, Nashville, TN (US)
Filed by Gresham Smith, Nashville, TN (US)
Filed on Jun. 29, 2022, as Appl. No. 17/853,489.
Application 17/853,489 is a continuation in part of application No. 17/202,671, filed on Mar. 16, 2021, granted, now 11,501,501.
Claims priority of provisional application 63/044,563, filed on Jun. 26, 2020.
Prior Publication US 2022/0335173 A1, Oct. 20, 2022
Int. Cl. G06F 30/13 (2020.01); A61B 5/00 (2006.01); A61B 5/0205 (2006.01); A61B 5/024 (2006.01); A61B 5/11 (2006.01); A61B 5/16 (2006.01)
CPC G06F 30/13 (2020.01) [A61B 5/0205 (2013.01); A61B 5/1112 (2013.01); A61B 5/165 (2013.01); A61B 5/7225 (2013.01); A61B 5/742 (2013.01); A61B 5/024 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method of measuring embodied stress relative to a location comprising:
receiving, by a computer comprising a processor and memory, stress measurement data from one or more sensors of one or more stress monitoring devices;
building, by the computer, a locational model from mapping data;
receiving, by the computer, location data for the one or more stress monitoring devices, wherein the location data is correlated with the stress measurement data;
filtering, by the computer, the stress measurement data and the location data by comparing the location data to a locational model;
aggregating, by the computer, the filtered stress measurement data and the filtered location data into groups according to one or more bins, wherein the one or more bins are defined by a grid;
analyzing, by the computer, the stress measurement data and the location data to associate the stress measurement data with the location data according to the locational model;
generating, by the computer, a stress visualization based on the stress measurement data and the location data; and
deriving, by the computer, an emotion of one or more locations according to the locational model.