US 12,010,512 B2
System and method of mobile based user authentication for an access controlled environment
Devu Manikantan Shila, West Hartford, CT (US); Kunal Srivastava, Manchester, CT (US); and Paul C. O'Neill, New Britain, CT (US)
Assigned to CARRIER CORPORATION, Palm Beach Gardens, FL (US)
Appl. No. 16/610,026
Filed by Carrier Corporation, Jupiter, FL (US)
PCT Filed Feb. 26, 2018, PCT No. PCT/US2018/019705
§ 371(c)(1), (2) Date Oct. 31, 2019,
PCT Pub. No. WO2018/208358, PCT Pub. Date Nov. 15, 2018.
Claims priority of provisional application 62/492,610, filed on May 1, 2017.
Prior Publication US 2020/0077261 A1, Mar. 5, 2020
Int. Cl. H04W 12/06 (2021.01); G06F 21/32 (2013.01); H04L 67/50 (2022.01); H04W 12/08 (2021.01); H04W 12/64 (2021.01); H04W 4/80 (2018.01); H04W 12/68 (2021.01); H04W 88/02 (2009.01)
CPC H04W 12/06 (2013.01) [G06F 21/32 (2013.01); H04L 67/535 (2022.05); H04W 12/08 (2013.01); H04W 12/64 (2021.01); H04W 4/80 (2018.02); H04W 12/68 (2021.01); H04W 88/02 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A method of mobile based user authentication comprising:
storing a plurality of categories of data associated with user activity with a mobile device carried or worn by a user;
analyzing the plurality of categories of data over a recent period of time to determine a user trust score based on a historical period of time, the historical period of time greater than the recent period of time;
subsequent to the user providing a user intent signal to the mobile device, granting access to an access controlled environment if the user trust score is within a predetermined score range;
wherein analyzing the plurality of categories of data is initiated once the mobile device is located within a predetermined distance of the access controlled environment;
wherein the plurality of categories of data comprises physical activity levels, a unique walking pattern of the user including length of stride and speed of stride, a number of steps taken by the user over a given time period, a time of day when physical activity is performed, a time of exercising, one or more biometrics including average heart rate, a user's GPS location history, a travel pattern of the user and usage patterns of the mobile device.