Sleep Platform Environment Optimization Using Cross-User Learning

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Solution Overview

Problem

Determining appropriate control of a sleep environment to enhance quality sleep is challenging due to variations in factors like firmness, temperature, sound, and lighting, and difficulties in defining and measuring sleep quality.

Innovation Solution

A system that adjusts sleep environment settings based on information from other users with similar characteristics, using metrics and subjective evaluations to determine and propagate sleep profile settings indicative of higher quality sleep, involving components like heating/cooling systems and pressure adjustment mechanisms controlled by a server and controller.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If sleep environment settings are customized for each individual user, then sleep quality may be improved, but the complexity of determining appropriate settings increases significantly

Engineering Contradiction:

Improvesleep qualityVSAvoidcomplexity of determining settings

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent combines sleep environment settings from multiple users with similar characteristics to create an optimized sleep profile. By merging data from multiple sources (sleep surface firmness, temperature, sound, lighting settings from various users), the system determines a consolidated set of settings that improves sleep quality while reducing the complexity of individual customization.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The system introduces an intermediary processing layer that collects, analyzes, and synthesizes sleep environment data from multiple users. This intermediary system (comprising servers and controllers) processes raw data from multiple sources and generates optimized sleep profiles, mediating between individual user data and final sleep environment control.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If sleep quality metrics are objectively measured, then reliability of assessment improves, but the difficulty of detecting and measuring sleep quality increases

Engineering Contradiction:

Improvesleep quality assessmentVSAvoiddifficulty of measuring sleep quality

Core Design Contradiction:

ReliabilityVSDifficulty of detecting and measuring

Solution Approach 1:

The patent employs multiple measurement modalities (objective sensors and subjective user feedback) that serve universal purposes in assessing sleep quality. The system uses various sensors (movement, temperature, heart rate) alongside user-reported metrics, allowing a single comprehensive assessment framework to capture multiple aspects of sleep quality through different measurement approaches.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Reliability

If sleep environment parameters are adjusted based on collective user data, then sleep quality optimization improves, but the loss of information about individual preferences increases

Engineering Contradiction:

Improvesleep quality optimizationVSAvoidloss of individual preference data

Core Design Contradiction:

ReliabilityVSLoss of information

Solution Approach 1:

The system applies local quality by tailoring the aggregated sleep profile to individual user characteristics. While using collective data from multiple users, the system preserves and applies individual-specific parameters (age, weight, sleep habits, preferences) to customize the optimized profile for each user, ensuring individual preferences are not completely lost in the aggregation process.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS20240149011A1Optimizing sleep personalization using learning methods across multiple users and bed platforms

Publication Date: 2024.05.09 BRYTE LABS INC

AI summary

One or more aspects of a sleep environment of a sleep platform for a user may be set or modified based on at least some sleep environment information for sleep platforms of other users. The other users may have similar characteristics as the user. The aspects of the sleep environment may be set or modified based on one or more aspects of sleep environments of sleep platforms of the other users indicated as providing improved sleep quality. The sleep environment of the sleep platform may include sleep surface conditions and/or conditions surrounding the sleep surface.