US 12,471,817 B2
Identifying differences between physiologically-identified significant portions of a target and machine-identified significant portions
Rafael Ballagas, Palo Alto, CA (US)
Assigned to Hewlett-Packard Development Company, L.P., Spring, TX (US)
Appl. No. 17/311,074
Filed by Hewlett-Packard Development Company, L.P., Spring, TX (US)
PCT Filed Apr. 11, 2019, PCT No. PCT/US2019/026913
§ 371(c)(1), (2) Date Jun. 4, 2021,
PCT Pub. No. WO2020/209856, PCT Pub. Date Oct. 15, 2020.
Prior Publication US 2022/0039713 A1, Feb. 10, 2022
Int. Cl. A61B 5/16 (2006.01); A61B 5/369 (2021.01); G06F 3/01 (2006.01); G06N 20/00 (2019.01)
CPC A61B 5/163 (2017.08) [A61B 5/165 (2013.01); A61B 5/369 (2021.01); G06F 3/013 (2013.01); G06N 20/00 (2019.01)] 12 Claims
OG exemplary drawing
 
1. A system comprising:
an analysis engine to detect a first set of significant portions of a target;
an event engine to:
detect a set of potential events in a physiological signal, and identify a second set of significant portions of the target based on the set of potential events; and
a comparison engine to identify a difference between the first set of significant portions and the second set of significant portions; and
an input engine to measure the physiological signal, to measure eye tracking data, and to receive a set of user-indicated significant portions, wherein the event engine is to compare the eye tracking data to the set of potential events to identify the second set of significant portions, and wherein the comparison engine is to further compare the set of user-indicated significant portions to the first set of significant portions and the second set of significant portions.