Biometric-Driven Media Recommendation System

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Solution Overview

Problem

Existing content recommendation techniques for wearable devices fail to effectively identify and recommend media content that induces specific physiological responses in users, such as heart rate changes or improved sleep latency, as they rely on general user preferences rather than real-time biometric data.

Innovation Solution

A system that collects biometric data from wearable devices and uses this data to deliver personalized media content recommendations, adjusting content based on thresholds and user-specific or community-aggregated biometric insights to target specific physiological parameters like heart rate or sleep quality.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional content recommendation techniques (collaborative filtering, content-based filtering) are used, then content recommendations can be provided based on user preferences, but the recommendations fail to effectively induce specific physiological responses in users

Engineering Contradiction:

Improveeffectiveness of physiological responseVSAvoidbiometric data utilization

Core Design Contradiction:

ReliabilityVSLoss of information

Solution Approach 1:

The system implements feedback by continuously monitoring user biometric data (heart rate, temperature, galvanic skin response) and using this feedback to dynamically adjust content recommendations. The biometric data serves as feedback signals that indicate the user's physiological state, enabling the system to refine recommendations to achieve desired physiological responses such as relaxation or alertness.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system changes parameters by transitioning from static content recommendations based solely on user preferences to dynamic recommendations that incorporate real-time biometric parameters. The recommendation algorithm adjusts content selection based on measured physiological parameters, transforming the recommendation system from preference-based to physiology-based decision-making.

Inventive Principle:

Principle #35Parameter changes

2Adaptability or versatility

If real-time biometric data collection is implemented, then personalized content recommendations targeting specific physiological parameters can be delivered, but system complexity increases

Engineering Contradiction:

Improvepersonalization capabilityVSAvoidsystem architecture

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system achieves universality by designing a multi-functional architecture where a single processing system performs multiple functions: collecting biometric data from various sensors, analyzing physiological states, generating content recommendations, and delivering personalized content. This consolidated approach reduces overall system complexity compared to having separate specialized systems for each function.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system uses an intermediary processing layer that mediates between raw biometric data from wearable devices and the content recommendation engine. This intermediary layer aggregates, normalizes, and interprets biometric signals, simplifying the interface between data collection and recommendation generation while enabling personalized content delivery without requiring direct complex integration between all components.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Measurement precision

If biometric thresholds are set for triggering content recommendations, then targeted physiological responses can be achieved, but response time and precision depend on threshold sensitivity

Engineering Contradiction:

Improvebiometric threshold detectionVSAvoidresponse latency

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary action by pre-defining biometric thresholds and response protocols before actual physiological events occur. Thresholds for various biometric parameters (heart rate zones, temperature ranges, GSR levels) are established in advance, allowing the system to quickly trigger appropriate content recommendations when thresholds are met without requiring complex real-time analysis, thus reducing response latency while maintaining precision.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20230086651A1Content delivery techniques for controlling biometric parameters

Publication Date: 2023.03.23 OURA HEALTH OY

AI summary

Methods, systems, and devices for content delivery are described. A device may receive biometric data associated with a user from a wearable device. The device may determine that a biometric parameter of a set of biometric parameters associated with the biometric data satisfies a threshold during an occasion. The device may select media content from a set of media content for recommending to the user. Each respective media content of the set of media content may be scored based on a respective effectiveness associated with each respective media content for controlling a value of the biometric parameter. The selecting may be triggered based on the biometric parameter satisfying the threshold. The media content may be selected based on a score associated with the media content. The device may output the media content via a graphical user interface (GUI) of the apparatus during the occasion.