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

專(zhuān)利號(hào)
US10867025B2
公開(kāi)日期
2020-12-15
申請(qǐng)人
UnifyID（US CA San Francisco）
發(fā)明人
John C. Whaley
IPC分類(lèi)
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(shuō)明書(shū)

  • Data collection triggered by activity detection (walking, running, cycling, driving, stationarity, etc.) on mobile devices.
  • Making the user's personal computer a wireless beacon such as a Bluetooth? beacon, or using a third-party beacon, to wake up nearby smartphones and wearable devices for data collection, based on techniques including going in and out of signal range, or by broadcasting specific services.
  • Using geofencing to trigger data collection when the user enters or exits a location.
  • Using events from a light/proximity detector to trigger data collection when the light changes, for example, when a smartphone moves in or out of a pocket.
  • Triggering data collection based on sound changes, by listening on a microphone for noise variations.
  • Triggering data collection on voice or keyword matching.
  • Collecting data in the background while playing a background sound, including silence or soft white noise.
  • Sending VoIP packets to wake up an application for data collection or for data processing purposes.
  • Periodically notifying the user to launch an app in the foreground to reset the background execution count.
  • Activating an app for data collection based on changes of magnetic fields.
  • Collecting data based on NFC signals.
  • Listening for message notifications, such as Instant Messaging (IM), SMS or email to wake an app.
  • Waiting for phone calls to be received to wake an app for data collection.

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