Environmental Control Framework for Sleep Optimization
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Solution Overview
Problem
Conventional devices and systems fail to help users implement changes to their sleep environment that could improve sleep quality, despite providing informative measures of sleep quality.
Innovation Solution
A computerized framework that dynamically determines a user's routine and controls environmental stimuli such as light, temperature, and Internet traffic to prepare the user and their environment for sleep or wakefulness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional sleep tracking devices provide informative measures of sleep quality, then users gain awareness of their sleep patterns, but users cannot implement changes to their sleep environment to improve sleep quality
Solution Approach 1:
The system automatically controls environmental devices based on sleep data without requiring manual user intervention. The sleep tracking device provides data, and the system self-adjusts environmental parameters (lighting, temperature, etc.) to optimize sleep conditions, eliminating the need for users to manually implement changes.
Solution Approach 2:
The system introduces an intermediary framework that connects sleep tracking devices with environmental control devices. This intermediary processes sleep quality information and translates it into appropriate environmental adjustments, bridging the gap between information provision and environmental modification.
2Reliability
If the system dynamically controls multiple environmental stimuli (light, temperature, Internet traffic), then sleep quality and wakefulness are improved, but system complexity increases
Solution Approach 1:
The system employs a universal framework that can control multiple types of environmental stimuli (lighting, temperature, Internet traffic) through a single integrated architecture. This multi-functional approach allows the system to address various sleep factors without requiring separate complex systems for each environmental parameter.
Solution Approach 2:
The system merges control of diverse environmental devices into a unified system managed by the environmental control engine. By combining multiple control functions into a single coordinated system, the complexity is centralized and managed efficiently rather than distributed across separate independent systems.
Data Source
AI summary
Disclosed are systems and methods that provide a novel framework for personalized environmental control to optimize user sleep and wakefulness. The framework can include dynamically controlling devices within a user's home environment based on a computerized bedtime or waketime schedule. The disclosed framework can operate to temporally modify an location-based environment for a user, which can correspond to how devices function, whether they are on/off, whether they are accessible (e.g., turned on or off), and the like. Accordingly, the framework can automatically control how devices operate a location based on activity patterns of a user so as to enable peak performance of particular activities (e.g., better sleep due to device thresholding).