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How Wearable Devices Use Location and Biometrics to Know Who You Are

This patent describes how a computer system can figure out who is using a wearable device by combining its location data with biometric information like a face scan or voice recording.

ActiveExpires 2042Owned by Amazon TechnologiesInvented by Aparna Khare, Spyridon Matsoukas, Shamitha Somashekar + 2 more

Original patent title: “Speech based user recognition

Plain-English explanation by SahiLast reviewed · August 20, 2026

This patent describes how a computer system can figure out who is using a wearable device by combining its location data with biometric information like a face scan or voice recording. Owned by Amazon Technologies with 24 claims and 1 forward citation, and it is expected to expire in 2042.

Coverage

What does this patent actually cover?

The patent describes a computer-implemented method (ClaimclaimA numbered sentence at the end of a patent that legally defines what the inventor owns. The most important section.Read more → 21) for identifying a user of a wearable device. It works by receiving two types of data: first, location data for the wearable device (Claim 21), and second, biometric data such as image data of a face or audio data of a voice (Claim 21). The system then processes both the location data and the biometric data together to determine the user's identity (Claim 21). For example, if a smartwatch (wearable device) is detected in a specific room in a house (location data) and then records a voice command (audio data), the system can use both pieces of information to confirm if the voice belongs to the known owner of that smartwatch, especially if that owner is typically in that room. The system can also use a known user's profile to compare the biometric data (Claim 22, 23) and consider the type of wearable device (Claim 29) to improve accuracy.

The gap

What does this patent NOT cover?

  • Does not cover user identification solely based on biometric data (e.g., just a fingerprint scan) without also using location data or device type.
  • Does not cover systems that identify users without involving a "wearable device" as defined by the claimsclaimsThe numbered statements at the end of a patent that legally define what the inventor owns.Read more →.
  • Does not cover identification methods that rely only on a user's password or PIN without any biometric or location input.
  • Does not cover systems that determine identity without combining at least two distinct data types: location data and biometric data (image or audio).

These exclusions are unique to PatentBrief — derived from the actual claim language, not patent-office boilerplate.

Key facts

Patent numberUS 20220189458
StatusActive
FieldConsumer Electronics
AssigneeAmazon Technologies
InventorsAparna Khare, Spyridon Matsoukas, Shamitha Somashekar and 2 others
Filed2022
Expires2042
Claims24
Times cited1
LitigationNone on record
Value · $59K$187KModest

What made this novel

The noveltynoveltyThe requirement that an invention be different from anything publicly known before its priority date.Read more → lies in combining location data (like being inside a specific room or a geographic coordinate) with biometric data (face or voice) to determine a user's identity, especially in the context of a wearable device. This multi-factor approach makes identification more robust than relying on biometrics or location alone.

The Patent Drawing

Representative patent drawing for Speech based user recognition (US 20220189458)
Representative figure · US 20220189458All figures on Google Patents →
Speech based user recognition(Primary claim)consumer electronicssoftwaretelecommunicationsai ml

Schematic visualization of the patent's claim structure. Hand-drawn diagrams in progress for each landmark patent.

Where you've seen this

Real-world examples

01

Smartwatches unlocking features when worn by the owner in a specific location.

02

Smart glasses authenticating the wearer based on their face and GPS data.

03

Fitness trackers confirming user identity for secure health data access.

04

Voice assistants on earbuds recognizing the user only when in a trusted location.

Why it matters

The bigger picture

This technology is important for making wearable devices more secure and personalized. By combining location and biometric data, devices can offer more reliable user authentication, which is crucial for accessing sensitive information or making payments. This approach helps prevent unauthorized use and enables seamless, context-aware experiences.

Filed

January 26, 2022

Market context

Who's building on this

Companies in this space

Amazon Technologies Inc., the assigneeassigneeThe entity that owns the patent — usually the inventor's employer or a company.Read more →, is actively developing and deploying technologies related to user recognition and wearable devices, particularly with products like Echo devices, Alexa, and potentially future smart glasses or other wearables. Other major tech companies like Apple, Google, and Samsung also invest heavily in multi-factor authentication and context-aware security for their wearable ecosystems.

Market impact

This type of multi-factor authentication for wearables enhances security and user experience, which is critical for the growing market of smart devices. It enables more seamless access to personalized services and secure transactions directly from a wearable, potentially reducing reliance on traditional passwords or PINs and fostering greater trust in these devices for sensitive tasks.

Claim 1 — Plain English

What this patent covers

The patent describes a computer-implemented method (Claim 21) for identifying a user of a wearable device. It works by receiving two types of data: first, location data for the wearable device (Claim 21), and second, biometric data such as image data of a face or audio data of a voice (Claim 21). The system then processes both the location data and the biometric data together to determine the user's identity (Claim 21). For example, if a smartwatch (wearable device) is detected in a specific room in a house (location data) and then records a voice command (audio data), the system can use both pieces of information to confirm if the voice belongs to the known owner of that smartwatch, especially if that owner is typically in that room. The system can also use a known user's profile to compare the biometric data (Claim 22, 23) and consider the type of wearable device (Claim 29) to improve accuracy.

The clever bit

The novelty lies in combining location data (like being inside a specific room or a geographic coordinate) with biometric data (face or voice) to determine a user's identity, especially in the context of a wearable device. This multi-factor approach makes identification more robust than relying on biometrics or location alone.

What it does not cover

  • Does not cover user identification solely based on biometric data (e.g., just a fingerprint scan) without also using location data or device type.
  • Does not cover systems that identify users without involving a "wearable device" as defined by the claims.
  • Does not cover identification methods that rely only on a user's password or PIN without any biometric or location input.
  • Does not cover systems that determine identity without combining at least two distinct data types: location data and biometric data (image or audio).

Patent timeline

Filing

Application submitted to the patent office

Expiration

Patent enters public domain

PatentBrief Score

Impact Score

Moderate

Citation count

6/40

Early citations

Claim breadth

16/20

Broad claimsclaimsThe numbered statements at the end of a patent that legally define what the inventor owns.Read more →

Recency

0/20

Older than 20 years

Assignee scale

20/20

Major company or institution

PatentBrief Impact Score — based on citation count, claim breadth, recency, and assignee scale. Not a legal assessment.

Heuristic Value Estimate

What this patent might be worth

Modest

$59K$187K

Midpoint $117K · 15.4 yr remaining · industry ×1.5

Adjust inputs →

Heuristic only — blends forward/backward citation counts, claim scope, time remaining, litigation history, and CPC-derived industry baseline. Real valuations need a professional appraisal.

Claim text not yet imported for this patent

The original legal language

Original claims

24 claims as filed with the patent office.

Concepts involved

ClaimPrior artNon-obviousnessNoveltySpecificationAssigneePatent term

Citations

Patent lineage

Cites earlier patents

5

earlier patents this invention cites as foundations

View prior art →

Cited by later patents

1

later patents that build on this invention

View patents →

Cite this patent

Khare, A., Matsoukas, S., Somashekar, S., Krishnamoorthy, V., & Mandal, A. How Wearable Devices Use Location and Biometrics to Know Who You Are (U.S. Patent No. 20,220,189,458). U.S. Patent and Trademark Office. https://patentbrief.org/patent/us/20220189458/speech-based-user-recognition

Auto-generated from the patent record. Double-check author order and the issue date against the official USPTO document before submitting.

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Common Questions

Frequently Asked Questions

What does How Wearable Devices Use Location and Biometrics to Know Who You Are cover?

This patent describes how a computer system can figure out who is using a wearable device by combining its location data with biometric information like a face scan or voice recording.

Who owns patent US 20220189458?

This patent is owned by Amazon Technologies.

When does this patent expire?

This patent is expected to expire on January 26, 2042, when the invention enters the public domain.

What is patent US 20220189458 cited by?

This patent has been cited by 1 later patents that build on its ideas.

What problem does this patent solve?

This technology is important for making wearable devices more secure and personalized. By combining location and biometric data, devices can offer more reliable user authentication, which is crucial for accessing sensitive information or making payments. This approach helps prevent unauthorized use and enables seamless, context-aware experiences.

What does this patent NOT cover?

Does not cover user identification solely based on biometric data (e.g., just a fingerprint scan) without also using location data or device type.

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Last reviewed: August 20, 2026 · PatentBrief is not a law firm and this is not legal advice.