DCT

2:25-cv-11772

UnaliWear Inc v. Garmin Ltd

Key Events

Complaint

complaint Intelligence

I. Executive Summary and Procedural Information

Parties & Counsel:
- Plaintiff: UnaliWear, Inc. (Delaware)
- Defendant: Garmin Ltd. (Switzerland); Garmin USA, Inc. (Kansas); Garmin International, Inc. (Kansas)
- Plaintiff's Counsel: Russ, August & Kabat
Case Identification: 2:25-cv-11772, C.D. Cal., 12/12/2025
Venue Allegations: Venue is alleged to be proper based on Defendants' business activities within the Central District of California, including making sales, committing acts of infringement, and maintaining regular and established places of business in Goleta and Diamond Bar, California.
Core Dispute: Plaintiff alleges that Defendant's wearable smartwatches infringe patents related to monitoring a wearer's activity, learning behavioral patterns, and providing assistance or alerts based on deviations from those patterns.
Technical Context: The lawsuit concerns the technology of wearable health and safety monitoring devices, which use sensors and machine learning to create personalized user profiles for proactive assistance and emergency detection.
Key Procedural History: The complaint notes the filing of a companion action against the Defendants in the International Trade Commission (ITC) concerning the same asserted patents.

Case Timeline

Date	Event
2013-09-19	Priority Date for '410 and '193 Patents
2018-08-14	U.S. Patent No. 10,051,410 Issued
2020-06-16	U.S. Patent No. 10,687,193 Issued
2025-12-12	Complaint Filed

II. Technology and Patent(s)-in-Suit Analysis

U.S. Patent No. 10,051,410 ("the '410 Patent"), "Assist Device and System," issued August 14, 2018

The Invention Explained

Problem Addressed: The patent identifies a need for technology that can monitor elderly or infirm persons in a manner that is "accurate, convenient, unobtrusive, and socially acceptable" to help them live independently while ensuring assistance is available when needed '410 Patent, col. 1:21-35 It specifically notes the difficulty in recognizing deviations from normal life patterns that may indicate a need for assistance '410 Patent, col. 1:30-35
The Patented Solution: The invention is a wearable device that collects activity data and sends it to a server. The server processes this data to create or update "behavioral rules" for the wearer, which are then sent back to the device '410 Patent, abstract The device then compares the wearer's current activity against these rules and provides assistance if it detects a deviation, such as when a wearer is not following their typical activity profile '410 Patent, abstract '410 Patent, col. 2:36-54 This creates a feedback loop where the system learns a user's patterns and proactively offers help.
Technical Importance: This technology represents a shift from purely reactive alert systems (e.g., user-pressed buttons) to a proactive monitoring system that learns individual patterns to anticipate needs and detect anomalies '410 Patent, col. 1:21-29

Key Claims at a Glance

The complaint asserts independent claim 1 (a device claim) and claim 16 (a method claim), with a focus on claim 1 Compl. ¶32 Compl. ¶35
Independent Claim 1 requires:
- A power source, processor, at least one physiologic sensor, user interface, and network interface.
- A memory with instructions that cause the device to:
  - Collect activity data to determine the physical activity pattern of the wearer over time.
  - Provide the collected data to a server for processing to create or update "behavioral rules" for the wearer.
  - Receive the behavioral rules from the server for comparison.
  - Provide assistance to the wearer when a check of the wearer's activity against the behavioral rules indicates the wearer is not following the activity profile.
The complaint reserves the right to assert other claims Compl. ¶35

U.S. Patent No. 10,687,193 ("the '193 Patent"), "Assist Device and System," issued June 16, 2020

The Invention Explained

Problem Addressed: As a continuation-in-part of the '410 patent, the '193 patent addresses the same problem: the lack of unobtrusive, dignified technology to monitor vulnerable populations and recognize deviations from normal life patterns that indicate a need for help '193 Patent, col. 1:40-49
The Patented Solution: The '193 patent claims a wearable device that collects physical activity data and provides it to a remote computer. This computer processes the data to create or update a "parameterized rule-based custom data model" for the wearer '193 Patent, abstract The device receives this model back and uses it to compare against newly collected activity data, communicating with the wearer if an inconsistency is found '193 Patent, abstract '193 Patent, col. 2:20-39
Technical Importance: This invention refines the concept of proactive monitoring by formalizing the user profile into a "parameterized rule-based custom data model," suggesting a more structured and data-driven approach to learning and applying behavioral patterns '193 Patent, col. 2:26-31

Key Claims at a Glance

The complaint asserts independent claim 1 (a device claim) and claim 35 (a method claim), with a focus on claim 1 Compl. ¶46 Compl. ¶49
Independent Claim 1 requires:
- A power source, processor, at least one physiologic sensor, user interface, and network interface.
- A memory with instructions that cause the device to:
  - Collect physical activity data related to times and locations.
  - Provide this data to a remote computer for processing to create or update a "parameterized rule-based custom data model."
  - Receive the model from the remote computer.
  - Communicate with the wearer when a comparison of new activity data against the model indicates an inconsistency.
The complaint reserves the right to assert other claims Compl. ¶49

III. The Accused Instrumentality

Product Identification: The accused products are Garmin's wearable products, including the Garmin Forerunner 970 and other models such as the Garmin Vivoactive 3, Forerunner 935, and Fenix 5 series watches Compl. ¶5 Compl. ¶11 Compl. Ex. 4, p. 2
Functionality and Market Context: The complaint alleges that these products are smartwatches equipped with various sensors (e.g., GPS, heart rate monitors, accelerometers) that track a user's physical activities Compl. Ex. 4, p. 6 The devices connect to Garmin's "Garmin Connect" application and backend servers, which analyze the data to provide features like adaptive coaching and "Incident Detection" Compl. Ex. 4, p. 4 The Incident Detection feature is alleged to identify an incident by detecting a sudden deceleration or impact and can automatically send the user's name and location to emergency contacts Compl. Ex. 4, p. 4 A screenshot from a product demonstration video shows the Garmin watch face displaying a countdown timer with the message "Notifying Emergency Contacts" after an incident is detected Compl. Ex. 4, p. 5

IV. Analysis of Infringement Allegations

The complaint references, but does not provide, Exhibit 3, a claim chart for the '410 patent Compl. ¶32 The infringement theory alleges that the Garmin watches, in conjunction with the Garmin Connect servers, perform the claimed steps of collecting data, sending it to a server to generate "behavioral rules" (e.g., personalized activity goals), receiving those rules back, and providing "assistance" when the user's activity deviates from the rules Compl. ¶¶30-35

'193 Patent Infringement Allegations

Claim Element (from Independent Claim 1)	Alleged Infringing Functionality	Complaint Citation	Patent Citation
A wearable device adapted to monitor a wearer's physical activity patterns and to provide assistance to the wearer, comprising: a power source; a processor; at least one physiologic sensor that provides sensor data of the wearer to the processor;	The Accused Devices are smartwatches containing a rechargeable battery, a processor (e.g., Ambiq Apollo 2 SoC), and physiologic sensors (e.g., GPS, accelerometer, heart rate monitor) that provide sensor data to the processor.	¶49; Ex. 4, pp. 6-7	col. 2:14-16
a user interface connected to the processor and adapted to interact with the wearer and to provide information to the wearer;	The Accused Devices include a display that provides information to the user, including sensor data and alerts for detected incidents. A product screenshot shows the watch face displaying an alert to notify emergency contacts.	¶49; Ex. 4, pp. 8, 22	col. 2:16-18
a network interface configured to provide a network connection between the device and a remote computer; and	The Accused Devices use Bluetooth, Wi-Fi, and LTE to connect to a smartphone and sync activity data with remote Garmin servers via the Garmin Connect app.	¶49; Ex. 4, pp. 9-10	col. 2:18-20
a memory coupled to the processor, the memory storing program instructions that...cause the device to collect, from the at least one physiologic sensor, physical activity data related to times and locations...;	The memory on the processor (e.g., Ambiq Apollo2 SoC) stores instructions that cause the device to collect physical activity data from sensors like GPS, accelerometer, and gyroscope, which includes time and location data.	¶49; Ex. 4, pp. 11-14	col. 2:20-25
to provide the collected physical activity data to the remote computer via the network interface for processing to create or update a parameterized rule-based custom data model for the wearer...	The device syncs the collected activity data with Garmin's remote servers through the Garmin Connect app. The servers allegedly process this data to create a personalized model for the user, providing personalized health insights and workout summaries. A screenshot shows the Garmin Connect app, which is described as the tool for tracking and analyzing health and fitness activities.	¶49; Ex. 4, pp. 15-18; Ex. 4, p. 11	col. 2:25-31
to receive the parameterized rule-based custom data model from the remote computer...; and	The Accused Devices allegedly receive personalized insights and recommendations, such as step goals and customized workouts, from the Garmin servers via the Garmin Connect app. This is alleged to be the custom data model.	¶49; Ex. 4, p. 20	col. 2:31-33
to communicate with the wearer via the user interface when a comparison...indicates that the wearer's physical activity is not consistent with the parameterized rule-based custom data model.	The "Incident Detection" feature allegedly compares the user's current activity (via accelerometer/gyroscope) against their personalized activity profile. If an abrupt deceleration is detected, the watch communicates an alert to the user via its interface.	¶49; Ex. 4, pp. 21-22	col. 2:33-39

Identified Points of Contention:
- Scope Questions: A central dispute may be whether Garmin's system of "Incident Detection" and "Adaptive Coaching," which is primarily focused on fitness and acute events, meets the definitional scope of the patents' "behavioral rules" or "parameterized rule-based custom data model," which are described in the context of learning holistic, long-term life patterns for elder care '410 Patent, col. 1:21-29 '193 Patent, col. 1:30-34
- Technical Questions: The infringement allegation relies on a specific sequence: device collects data -> server creates/updates model -> device receives model -> device performs comparison. A key technical question will be whether the Garmin ecosystem actually operates this way. For instance, the court may need to determine whether the critical comparison of current activity to the user's "model" happens on the watch itself, as claimed, or primarily on Garmin's servers, which might not align with the claim language.

V. Key Claim Terms for Construction

For the '410 Patent:

The Term: "behavioral rules"
Context and Importance: This term is the core of the invention's learning capability. Its definition will determine whether Garmin's system of personalized goals and alerts qualifies as the claimed invention. Practitioners may focus on this term because its potential ambiguity is central to the infringement analysis.
Intrinsic Evidence for Interpretation:
- Evidence for a Broader Interpretation: The specification describes the server's function broadly as "formulate rules, analyze data, and transmit data and/or rules to the device" '410 Patent, col. 2:3-5, which could support an interpretation that any server-generated, user-specific instruction is a "behavioral rule."
- Evidence for a Narrower Interpretation: The patent provides specific examples of what these rules are based on, including "location mapping," "sleep/wake cycles," and "correlations between time and location" '410 Patent, col. 2:10-12 This may support a narrower construction limited to rules governing holistic daily life patterns, rather than just fitness metrics.

For the '193 Patent:

The Term: "parameterized rule-based custom data model"
Context and Importance: This term appears to be a more specific version of the '410 patent's "behavioral rules." The case may turn on whether Garmin's system of creating personalized fitness profiles constitutes this specific type of "model."
Intrinsic Evidence for Interpretation:
- Evidence for a Broader Interpretation: The abstract describes the model as being "representative of an activity profile of the times and locations of physical activity of the wearer over time" '193 Patent, abstract, which could be argued to cover any personalized baseline of user activity.
- Evidence for a Narrower Interpretation: The claim requires a distinct process: the device provides data to the remote computer "for processing to create or update" the model, and then the device "receiv[es] the parameterized rule-based custom data model" back for local comparison '193 Patent, claim 1 This language may support a narrow interpretation requiring a discrete "model" object to be transmitted back to the device, rather than just a stream of alerts or goals.

VI. Other Allegations

Indirect Infringement: The complaint alleges that Garmin induces infringement by providing user manuals and online instructions that actively encourage and instruct customers to use the Accused Products in an infringing manner Compl. ¶34 Compl. ¶48
Willful Infringement: The willfulness allegation is based on alleged knowledge of the patents. The complaint pleads pre-suit knowledge from UnaliWear's marking of its own products, the parallel ITC action, and Defendants' access to UnaliWear's public IP portfolio Compl. ¶29 Compl. ¶43 It further alleges that Defendants have known or "been willfully blind to the fact" that their actions constitute infringement Compl. ¶36 Compl. ¶50

VII. Analyst's Conclusion: Key Questions for the Case

A core issue will be one of definitional scope: Can the patent terms "behavioral rules" and "parameterized rule-based custom data model," which are rooted in the context of learning holistic life patterns for assistive care, be construed to cover the features of a mass-market fitness and sports-oriented device like Garmin's, which provides "Incident Detection" and "Adaptive Coaching"?
A key evidentiary question will be one of system architecture: Does the Garmin watch and server ecosystem functionally align with the specific process recited in the claims? Specifically, does the accused system send a "model" or "rules" from the server back to the watch for local comparison, or does the critical analysis and comparison that triggers an alert occur primarily on Garmin's servers in a way that falls outside the claimed method?

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