US 11,991,194 B2
Cognitive neuro-linguistic behavior recognition system for multi-sensor data fusion
Ming-Jung Seow, The Woodlands, TX (US); Wesley Kenneth Cobb, The Woodlands, TX (US); Gang Xu, Katy, TX (US); Tao Yang, Katy, TX (US); Aaron Poffenberger, Houston, TX (US); Lon W. Risinger, Katy, TX (US); Kishor Adinath Saitwal, Pearland, TX (US); Michael S. Yantosca, Katy, TX (US); David M. Solum, Houston, TX (US); Alex David Hemsath, Houston, TX (US); Dennis G. Urech, Katy, TX (US); Duy Trong Nguyen, Friendswood, TX (US); and Charles Richard Morgan, Katy, TX (US)
Assigned to Intellective Ai, Inc., Dallas, TX (US)
Filed by Intellective Ai, Inc., Dallas, TX (US)
Filed on Jul. 6, 2021, as Appl. No. 17/368,586.
Application 17/368,586 is a continuation of application No. 16/216,135, filed on Dec. 11, 2018, abandoned.
Application 16/216,135 is a continuation of application No. 15/469,568, filed on Mar. 26, 2017, granted, now 10,187,415, issued on Jan. 22, 2019.
Application 15/469,568 is a continuation of application No. 14/457,082, filed on Aug. 11, 2014, granted, now 9,639,521, issued on May 2, 2017.
Claims priority of provisional application 61/864,274, filed on Aug. 9, 2013.
Prior Publication US 2022/0006825 A1, Jan. 6, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 40/00 (2020.01); G06F 40/226 (2020.01); G06F 40/242 (2020.01); G06F 40/289 (2020.01); G06F 40/30 (2020.01); G06N 20/00 (2019.01); H04L 9/40 (2022.01); G06F 40/247 (2020.01); G06F 40/253 (2020.01); G06F 40/284 (2020.01); G06F 40/40 (2020.01)
CPC H04L 63/1425 (2013.01) [G06F 40/226 (2020.01); G06F 40/242 (2020.01); G06F 40/289 (2020.01); G06F 40/30 (2020.01); G06N 20/00 (2019.01); H04L 63/1408 (2013.01); G06F 40/247 (2020.01); G06F 40/253 (2020.01); G06F 40/284 (2020.01); G06F 40/40 (2020.01)] 20 Claims
OG exemplary drawing
 
15. A behavior recognition system, comprising:
a processor; and
a memory storing instructions to cause the processor to:
receive normalized data;
generate a stable model of words based on a statistical distribution of combinations of symbols, the symbols being associated with normalized data;
calculate a score for at least one word from the stable model of words based on a frequency of occurrence of the at least one word; and
cause transmission of a behavioral alert based on the score, such that the behavioral alert is displayed at a compute device of a user.