Personalized Sleep Scoring With Biometric and Environmental Data

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing sleep monitoring and improvement technologies fail to provide personalized recommendations based on individual user profiles, environmental factors, and real-time data, leading to suboptimal sleep quality and associated health and social issues.

Innovation Solution

A computer-implemented method using biometric and environmental data to calculate personalized sleep scores and provide tailored recommendations for improving sleep quality, including adjusting bedtime, activity modifications, and environmental adjustments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If generic sleep improvement tips are provided without personalization, then the system complexity is reduced, but the effectiveness of sleep improvement is diminished

Engineering Contradiction:

Improvepersonalization of sleep recommendationsVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system segments users into different profiles based on their sleep characteristics, activities, and environmental factors. By dividing the user base into distinct segments with specific needs and behaviors, the system can provide personalized recommendations without requiring complete customization for each individual, thus managing complexity while maintaining adaptability.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system changes parameters such as bedtime, wake time, environmental conditions (temperature, lighting), and activity levels based on individual user profiles and real-time data. By dynamically adjusting these parameters, the system provides personalized sleep improvement strategies without requiring complex structural changes to the overall system architecture.

Inventive Principle:

Principle #35Parameter changes

2Productivity

If only behavioral changes are triggered for sleep improvement, then the intervention simplicity is maintained, but the comprehensive effectiveness is reduced

Engineering Contradiction:

Improvesleep improvement effectivenessVSAvoidintervention complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system integrates multiple functions including behavioral recommendations, environmental control, activity tracking, and real-time monitoring into a single comprehensive platform. By making the system multi-functional, it can address various aspects of sleep improvement simultaneously, enhancing overall effectiveness without requiring separate independent systems for each function.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system implements continuous feedback loops by monitoring user sleep quality, activities, and environmental conditions, then adjusting recommendations accordingly. This feedback mechanism enables the system to adapt and improve sleep outcomes dynamically, providing comprehensive effectiveness through iterative optimization rather than static behavioral changes alone.

Inventive Principle:

Principle #23Feedback

3Reliability

If real-time monitoring and personalized recommendations are implemented, then sleep quality improvement is enhanced, but the data processing requirements increase

Engineering Contradiction:

Improvesleep qualityVSAvoiddata processing energy

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary actions by pre-calculating sleep scores, predicting sleep quality outcomes, and preparing personalized recommendations in advance based on historical data and patterns. By doing data processing work beforehand, the system reduces real-time computational requirements while maintaining reliable sleep quality monitoring and personalized recommendation delivery.

Inventive Principle:

Principle #10Preliminary action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enhances sleep quality by providing personalized, data-driven recommendations that improve sleep scores and align with individual user habits and environmental conditions, addressing underlying causes of insufficient sleep.

Implementation Method 1

receiving an assessment of the sleep entered by the user on the current day or by a monitor device measuring the quality of the user's previous night's sleep. In some embodiments of the method, the assessment of the sleep is by a radar/sonar based monitor device.

Methodology Applied

Scientific EffectRadar: Radar

Implementation Method 2

Methodology Applied

Scientific EffectSonar: Sonar

Data Source

PatentUS12447305B2Systems and methods for analyzing, managing and improving sleep

Publication Date: 2025.10.21 CONSUMER SLEEP SOLUTIONS LLC

AI summary

Systems and methods for analyzing, managing, and improving a user's sleep are provided. In an example, a sleep score is calculated for the user's previous night's sleep based on a physiological status of the user, and an assessment of the sleep is received on the current day entered by the user or determined by a sleep monitor device, and based on the discrepancy between the calculated score and the assessment, a recommendation is provided to the user.