US 12,322,396 B2
Context-aided identification
Alex Olwal, Santa Cruz, CA (US); and Ruofei Du, San Francisco, CA (US)
Assigned to GOOGLE LLC, Mountain View, CA (US)
Filed by GOOGLE LLC, Mountain View, CA (US)
Filed on Oct. 27, 2022, as Appl. No. 18/050,329.
Claims priority of provisional application 63/263,473, filed on Nov. 3, 2021.
Prior Publication US 2023/0136553 A1, May 4, 2023
Int. Cl. G10L 17/06 (2013.01); G06V 40/16 (2022.01); G06V 40/50 (2022.01); G06V 40/70 (2022.01); G10L 17/04 (2013.01)
CPC G10L 17/06 (2013.01) [G06V 40/172 (2022.01); G06V 40/50 (2022.01); G06V 40/70 (2022.01); G10L 17/04 (2013.01)] 23 Claims
OG exemplary drawing
 
16. Augmented reality glasses, comprising:
at least one sensor configured to gather first sensor data at a first time and second sensor data at a second time, the second time after the first time;
a communication module configured to receive context information from other devices in communication with the augmented reality glasses, the context information corresponding to the first time that the first sensor data was gathered;
a memory storing a database; and
a processor communicatively coupled to the at least one sensor and the communication module that is configured by software instructions to:
receive the first sensor data;
identify the first sensor data as a fingerprint;
receive the context information;
determine possible identities of the fingerprint from the context information;
associate the fingerprint with the possible identities to generate a plurality of associations between the fingerprint and the possible identities;
updating the database with the plurality of associations between the fingerprint and the possible identities;
receive the second sensor data;
identify the second sensor data as the fingerprint;
querying the database with the fingerprint;
identify a previously recorded association of the fingerprint with one of the possible identities in the database, the previously recorded association having a confidence level;
change the confidence level of the previously recorded association in the database based on the context information; and
identify the fingerprint from a particular identity when the confidence level is above a threshold.