US 12,274,551 B2
Content generation and control using sensor data for detection of neurological state
Arvel A. Chappell, III, Los Angeles, CA (US); Lewis S. Ostrover, Los Angeles, CA (US); and Harold C. Mack, Los Angeles, CA (US)
Assigned to Warner Bros. Entertainment Inc., Burbank, CA (US)
Filed by WARNER BROS. ENTERTAINMENT INC., Burbank, CA (US)
Filed on Jul. 7, 2020, as Appl. No. 16/923,053.
Application 16/923,053 is a continuation of application No. PCT/US2019/012783, filed on Jan. 8, 2019.
Claims priority of provisional application 62/715,766, filed on Aug. 7, 2018.
Claims priority of provisional application 62/661,556, filed on Apr. 23, 2018.
Claims priority of provisional application 62/614,811, filed on Jan. 8, 2018.
Prior Publication US 2020/0405213 A1, Dec. 31, 2020
Int. Cl. A61B 5/00 (2006.01); A61B 5/0533 (2021.01); A61B 5/055 (2006.01); A61B 5/16 (2006.01); A61B 5/316 (2021.01); A61B 5/318 (2021.01); A61B 5/369 (2021.01); A61B 5/389 (2021.01); A63F 13/212 (2014.01); A63F 13/352 (2014.01); A63F 13/79 (2014.01); G06F 3/01 (2006.01); G06Q 50/00 (2012.01); G10L 15/04 (2013.01); G16H 40/67 (2018.01); G16H 50/30 (2018.01); H04N 21/422 (2011.01); H04N 21/442 (2011.01); H04N 21/845 (2011.01)
CPC A61B 5/165 (2013.01) [A61B 5/0042 (2013.01); A61B 5/0075 (2013.01); A61B 5/0077 (2013.01); A61B 5/0533 (2013.01); A61B 5/055 (2013.01); A61B 5/161 (2013.01); A61B 5/316 (2021.01); A61B 5/318 (2021.01); A61B 5/369 (2021.01); A61B 5/389 (2021.01); A61B 5/7246 (2013.01); A63F 13/212 (2014.09); A63F 13/352 (2014.09); A63F 13/79 (2014.09); G06F 3/015 (2013.01); G06Q 50/01 (2013.01); G10L 15/04 (2013.01); G16H 40/67 (2018.01); G16H 50/30 (2018.01); H04N 21/42201 (2013.01); H04N 21/44218 (2013.01); H04N 21/8456 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
calibrating, by one or more processors, a cognitive appraisal model that is configured to map biometric data to one or more cognitive parameters randomized in a vector space;
generating or modifying, by the one or more processors, one or more scripts based at least in part on modeling one or more character interactions by varying the one or more cognitive parameters with respect to at least one of the one or more scripts;
for a plurality of segments of the one or more scripts, generating, by the one or more processors, based on the cognitive appraisal model, an estimated measure of effectiveness of a respective segment in producing one or more targeted neuro-physiological responses by a target user according to a targeted story arc, wherein the targeted story arc comprises a plurality of targeted neurophysiological values associated with respective intervals of a time sequence;
selecting, by the one or more processors, one or more segments the plurality of segments as one or more next segments, the selecting based on the estimated measure of effectiveness of the segment;
generating or modifying, by the one or more processors, a script based on the one or more next segments; and
providing, by the one or more processors, the generated or modified script or electronic content generated based on the generated or modified script to the target user.