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Opportunistically collecting sensor data from a mobile device to facilitate user identification

專利號
US10867025B2
公開日期
2020-12-15
申請人
UnifyID(US CA San Francisco)
發(fā)明人
John C. Whaley
IPC分類
G06F21/31; G06F21/35; H04L29/06; H04W4/38; G06F21/32; H04W12/06; G06K9/00; G06N20/00; H04W12/00
技術(shù)領(lǐng)域
sensor,data,user,or,device,in,collection,beacon,can,trigger
地域: CA CA San Francisco

摘要

The inventors recently developed a system that authenticates and/or identifies a user of an electronic device based on passive factors, which do not require conscious user actions. During operation of the system, in response to a trigger event, the system collects sensor data from one or more sensors in the electronic device, wherein the sensor data includes movement-related sensor data caused by movement of the portable electronic device while the portable electronic device is in control of the user. Next, the system extracts a feature vector from the sensor data, and analyzes the feature vector to authenticate and/or identify the user. During this process, the feature vector is analyzed using a model trained with sensor data previously obtained from the portable electronic device while the user was in control of the portable electronic device.

說明書

We assume the mobile device 808 and the beacon device 813 have been previously paired during system setup. A native application running on beacon device 813 keeps scanning for wireless-enabled devices periodically, until an identifier for a mobile device 808 shows up. Then, beacon device 813 periodically sends a wireless message to wake up data collection module 810 on mobile device 808 to gather sensor data.

FIG. 8C illustrates a variation of the system in FIG. 8B, wherein beacon device 813 is replaced with an adaptive beacon device 814. During operation, a native application running on adaptive beacon device 814 keeps scanning for known wireless-enabled devices, until a known device is discovered. Then, adaptive beacon device 814 triggers sensor data collection by sending messages to mobile device 808 at variable intervals, based on feedback previously received from learner 805, which analyzes sensor data from remote database 812. It requests more data when necessary (for example, when we have less information about the user and want to know more) and less when data is not needed (for example, when the user is asleep and is not generating useful data).

權(quán)利要求

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