US 12,334,216 B2
Automatic and remote visuo-mechanics auditing
Eric Wong, Caulfield South (AU); Jorge Andres Moros Ortiz, Canberra (AU); Bahman Tahayori, Altona North (AU); Mahtab Mirmomeni, Vermont South (AU); and Rahil Garnavi, Macleod (AU)
Assigned to Kyndryl, Inc., New York, NY (US)
Filed by KYNDRYL, INC.
Filed on Aug. 4, 2021, as Appl. No. 17/393,816.
Prior Publication US 2023/0043368 A1, Feb. 9, 2023
Int. Cl. G16H 40/67 (2018.01); A61B 3/00 (2006.01); G05B 19/042 (2006.01); G16H 10/60 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01); G16H 70/20 (2018.01)
CPC G16H 40/67 (2018.01) [A61B 3/0025 (2013.01); G05B 19/042 (2013.01); G16H 10/60 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01); G16H 70/20 (2018.01); G05B 2219/24084 (2013.01)] 10 Claims
OG exemplary drawing
 
1. A computer implemented method (CIM) comprising:
opening a data communication session between an end user computer system of a first user and a remote eye test server computer over a communication network, wherein the end user computer system is located in an environment of the first user and is paired with Internet of Things (IoT) devices that contribute to ambient light in the environment;
during the data communication session, administering, by the eye test server computer, an automated eye test that tests a set of characteristic(s) relating to vision of the first user;
during the administration of the automated eye test, sending, by the eye test server computer, over the communication network and to the end user computer system, an instruction that causes a local analytics engine on the end user computer system to make an adjustment to screen settings of the end user computer system and an adjustment to one or more of the IoT devices to facilitate interactions under different screen settings and ambient light testing conditions;
collecting data via one or more sensors in the end user computer system during the administration of the automated eye test under the different screen settings and ambient light testing conditions, the data including: tracking visuo-mechanics of an eye of the first user; proximity of the end user computer system to a face of the first user; and visual settings of the end user computer system;
generating a visual profile of the first user including user specific data of the first user based on the administration of the automated the eye test under the different screen settings and ambient light testing conditions; and
automatically adjusting a respective one of the IoT devices in the environment of the first user based on the user specific data and current screen brightness settings of the end user computer system,
wherein the respective one of the IoT devices comprises a smart lighting system or a smart curtain in the environment of the first user.