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Key Functionality

User-worn device with strap

Measures blood oxygen saturation

Computing Processor

Protruding enclosure

- Transparent windows with two sets of LEDS

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Sr. Technical IP Analyst

KEY FUNCTIONALITY OF TARGET PATENT CLAIMS

Server/Client environment

Client uses Seed for Random Number Generation

All players receive same Seed in same match

Game ID used as part of the Seed value

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Technical Specifications

Customer Support

Marketing Materials

Video & Video Transcripts

SEC Filings

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Product Infringement Analysis

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PRODUCT

Hulu Watch Party

RELEASED

December 2, 2020

CLAIM ELEMENTS

1.a

1.b

1.c

1.d

1.e

1.f

KEY FUNCTIONALITY OF TARGET PATENT CLAIMS

Stream media content simultaneously to multiple user devices

During media streaming:

- Receive user-generated content from one user device

- Transmit the received user-generated content to another user device

Synchronous control of media playback on multiple user devices

Transmit advertisements to user devices during media streaming

Automated Claim Mapping

Automatically gathers citations and relevant information about specific products and companies, providing meaningful insights that enhance your patent investigation and licensing negotiations.

Delivers confidence levels indicating how well a patent’s claims match specific disclosures and evidence, offering a unique perspective on potential overlaps and conflicts.

Maps all elements of a target patent’s claims to any uploaded evidence.

Shows how multiple pieces of evidence and disclosures align with single claim elements for thorough examinations.

DISCLOSURE	REASON & ANALYSIS
1.a receiving at least one content package, wherein the content package includes at least one content piece and a set of rules associated with the content package, wherein the set of rules includes a trigger condition and an expected response, and wherein the trigger condition specifies a context that triggers a presentation of the content piece;
"Our recommendation system is built on the simple principle of helping people find the videos they want to watch and that will give them value... Your homepage is what you see when you first open YouTube—it displays a mixture of personalized recommendations, subscriptions, and the latest news and information." Source Title: On YouTube’s recommendation system Source URL: https://blog.youtube/inside-youtube/on-youtubes-recommendation-system/ Source Date: September 15, 2021	HIGH CONFIDENCE The provided evidence describes YouTube's homepage as an aggregation of personalized recommendations, which can be viewed as a "package of content". This content package included various items (videos) along with implicitly defined rules determining when and how they appear to the user (personalized recommendations based on user interest).
"To provide such custom curation, our recommendation system doesn’t operate off of a 'recipe book' of what to do. It’s constantly evolving, learning every day from over 80 billion pieces of information we call signals... A number of signals build on each other to help inform our system about what you find satisfying..." Source Title: How does YouTube’s recommendation system work? Source URL: https://www.youtube.com/howyoutubeworks/product-features/recommendations/#signals-used-to-recommend-content	HIGH CONFIDENCE This evidence indicates that YouTube's recommendation system uses a dynamic set of signals to curate content, effectively creating a "package" with rules (signals) that determine when and how content is presented to the user. These rules are not static but evolve based on user interaction, matching the claim element 1.a's requirement for rules regarding the usage of the content package.
"We rely on human evaluators, trained using publicly available guidelines, who assess the quality of information in each channel and video... The more authoritative a video, the more it’s promoted in recommendations." Source Title: How does YouTube’s recommendation system work? Source URL: https://www.youtube.com/howyoutubeworks/product-features/recommendations/#signals-used-to-recommend-content	HIGH CONFIDENCE The evidence shows that YouTube has a method of ranking videos (authoritativeness) which forms part of the rules for how content is recommended or "promoted" to users. Authoritative videos are more prominently featured in recommendations, indicating a rule-based system that governs the presentation of content packages to users, fitting the description of claim element 1.a.
"Our recommendation system is constantly evolving, learning every day from over 80 billion pieces of information we call signals, the primary ones being:	HIGH CONFIDENCE The evidence lists specific signals used by YouTube's recommendation system, which constitute the rules
"Different YouTube features rely on certain recommendation signals more than others. For example, we use the video you’re currently watching as the main signal when suggesting a video to play next." Source Title: How does YouTube’s recommendation system work? Source URL: https://www.youtube.com/howyoutubeworks/product-features/recommendations/#signals-used-to-recommend-content	HIGH CONFIDENCE This evidence demonstrates that YouTube applies different rules (signals) depending on the specific feature in use, such as what video to play next after the current one. The use of the currently watched video as a main signal for subsequent recommendations provides a clear example of a rule dictating how content packages are presented to the user, consistent with the description in claim element 1.a.

Automated Claim Mapping

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Seamlessly map every element of a target patent’s claims to any uploaded evidence.

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Uncover multiple pieces of evidence supporting individual claim elements.

DISCLOSURE	REASON & ANALYSIS
8 A user-worn device configured to non-invasively determine measurements of a physiological parameter of a user, the user-worn device comprising:
FIG. 1A shows an oximeter 100 that is worn on a user’s finger tip. Source: Jacques, Fig. 1A, Sheet 2	HIGH CONFIDENCE FIG. 1A describes an oximeter meets the primary requirements outlined in claim 8: it is a user-worn device and is configured to non-invasively determine measurements of a physiological parameter. Therefore, the disclosure supports and aligns with the elements of the claim.
8.a a first set of light emitting diodes (LEDs), the first set comprising at least an LED configured to emit light at a first wavelength and at least an LED configured to emit light at a second wavelength;
“In another improved embodiment of the invention, illustrated in FIG. 11, additional measurements are preferably obtained using more than two light sources 310A, 310B, 310C of different wavelengths in the visible to near-infrared wavelength range. Shorter wavelengths probe the vessel wall 260 and longer wavelengths probe into the blood-filled vessel lumen 270.” Source: Jacques, Col. 25, Lines 52 - 58.	HIGH CONFIDENCE The evidence discloses multiple LEDs at multiple places, for example, see FIG. 11 and the corresponding text, which discloses light sources 310A, 310B, and 310C, which can be LEDs that emit light at a first wavelength and at least an LED configured to emit light at a second wavelength.
“According to New, Jr. et al., two LEDs expose a body member, such as a finger, to light having red and infrared wavelengths, with each LED having a one-in-four duty cycle... The basic design of conventional pulse oximeter probes includes both red and infrared light emitting diodes (LEDs) and a photodetector (or light transducer). These components are arranged so that the LEDs illuminate a particular section of arterialized tissue. The detector collects the light from the LEDs which has been transmitted through the tissue section but not absorbed by the skin, bone, blood and other physiologic absorbers. The steady-state (DC) and time-varying (AC) components of this signal are then used to calculate the fraction of the arterial blood which is oxygenated.”	HIGH CONFIDENCE Jacques describes the use of two LEDs in a pulse oximeter probe. These LEDs emit light at red and infrared wavelengths, satisfying the requirement of emitting light at a first and second wavelength. Thus, Jacques' disclosure anticipates Claim 8.a of the target patent, as it describes all the elements of the claim in a similar manner.
8.b a second set of LEDs spaced apart from the first set of LEDs, the second set of LEDs comprising an LED configured to emit light at the first wavelength and an LED configured to emit light at the second wavelength;
"FIGS. 10A and 10B, according to these improved embodiments, for example, a number of light sources 210 and/or a number of detectors 220 in an oximetry device 200A, 200B are used to provide a range of source-detector separations. The light sources 210 (and/or the detectors 220) can be arranged, for instance, in an array 208. The circuitry that actuates the light sources 210 and circuitry that processes the output signals from the detectors 220, are not shown in FIGS. 10A and 10B, but can be routinely designed by those skilled in the art."	HIGH CONFIDENCE The disclosure describes the arrangement of the light sources 210 in an array 208 suggests that there is a second set of LEDs spaced apart from the first set. Additionally, while the exact wavelengths are not specified, the context of an oximetry device implies the use of LEDs emitting light at different wavelengths, aligning with the claim requirements of having LEDs configured to emit light at the first and second wavelengths.
"Different YouTube features rely on certain recommendation signals more than others. For example, we use the video you’re currently watching as the main signal when suggesting a video to play next." Source Title: How does YouTube’s recommendation system work? Source URL: https://www.youtube.com/howyoutubeworks/product-features/recommendations/#signals-used-to-recommend-content	HIGH CONFIDENCE This evidence demonstrates that YouTube applies different rules (signals) depending on the specific feature in use, such as what video to play next after the current one. The use of the currently watched video as a main signal for subsequent recommendations provides a clear example of a rule dictating how content packages are presented to the user, consistent with the description in claim element 1.a.

References: [1] Hulu Watch Party: https://help.hulu.com/article/hulu-watch-party

Product-Patent Analysis

Review rich, detailed explanations of the relevance of product features to the target patent, to quickly grasp key infringement points.

Track all details automatically to ensure even the most nuanced relationships are identified.

Examine intuitive scenarios that illuminate potential infringements in a clear and logical manner.

Inspect elegant visual diagrams that illustrate how a product reads on a target patent, offering an additional dimension of context for potential infringements.

Trace all disclosures and citations to their source documents.

Product Analysis Comparison

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Conventional methods

Not available

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Deep product analysis

Precise mapping of relevant details

Detection of nuanced relationships

Integration of cross-disciplinary expertise

Automation of manual research