Sleep Phase Selection Using Adaptive Environmental Control

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Solution Overview

Problem

Current sleep improvement devices primarily rely on sound to help users fall asleep and fail to dynamically adjust environmental conditions to optimize sleep quality and wake users at the most refreshing phase.

Innovation Solution

A system that utilizes physiological monitoring and environmental sensing to adjust sound, temperature, humidity, light, and other conditions to guide users into optimal sleep phases and wake them during a light sleep phase, incorporating home automation for seamless control.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If sound devices are used to help users fall asleep, then users can block out background sounds and fall asleep easier, but the system cannot dynamically adjust environmental conditions to optimize sleep quality or wake users at the optimal phase

Engineering Contradiction:

Improvesleep quality optimizationVSAvoiddynamic environmental adjustment

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system dynamically adjusts multiple environmental parameters (temperature, humidity, light, sound) in real-time based on the user's sleep phase detection and optimization goals, transitioning from static sound playback to adaptive environmental control

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The sleep optimization system integrates multiple functions including physiological monitoring, environmental sensing, conditional adjustment across multiple modalities (sound, temperature, humidity, light), and automated wake timing to comprehensively optimize sleep quality

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Reliability

If the system monitors physiological data and adjusts multiple environmental conditions, then sleep phase optimization is achieved, but device complexity increases

Engineering Contradiction:

Improvesleep phase optimization accuracyVSAvoidsystem component count

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system combines physiological monitoring, environmental sensing, and multiple control functions into an integrated sleep optimization platform that manages diverse components through unified coordination logic

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The system continuously monitors physiological data and environmental conditions, then adjusts conditions based on feedback from sleep phase detection to maintain optimal sleep states and determine appropriate wake timing

Inventive Principle:

Principle #23Feedback

3Ease of operation

If the system wakes users based on optimal sleep phase detection, then users wake up refreshed, but the system requires precise measurement of sleep phases

Engineering Contradiction:

Improveuser refreshment upon wakingVSAvoidsleep phase detection accuracy

Core Design Contradiction:

Ease of operationVSMeasurement precision

Solution Approach 1:

The system replaces subjective wake-time selection with objective physiological measurement and automated decision-making algorithms that analyze sleep phase data to determine optimal wake timing

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS10971261B2Optimal sleep phase selection system

Publication Date: 2021.04.06 DP TECHNOLOGIES INC

AI summary

A sleep sensing system comprising a sensor to obtain real-time information about a user, a sleep state logic to determine the user's current sleep state based on the real-time information. The system further comprising a sleep stage selector to select an optimal next sleep state for the user, and a sound output system to output sounds to guide the user from the current sleep state to the optimal next sleep state.