Adaptive Sleep System Using Data Analytics and Learning Techniques to Improve Individual Sleep Conditions
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Solution Overview
Problem
Existing sleep solutions are static and fail to adapt to individual sleep needs and changing sleep environments, leading to suboptimal sleep quality.
Innovation Solution
A dynamic sleep system that integrates sensors and actuators to detect and adjust sleep environment conditions, such as pressure, temperature, and position, using machine learning algorithms to optimize sleep quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static sleep solutions (beds, cushions, pillows) with fixed characteristics are used, then manufacturing simplicity is maintained, but adaptability to individual sleep needs and changing sleep environments deteriorates
Solution Approach 1:
The patent implements dynamic adjustability in sleep surfaces through electronically controllable elements such as adjustable firmness zones, temperature control regions, and positionable support surfaces. These features allow the bed to dynamically adapt to individual sleepers' needs by changing characteristics during the sleep cycle, transitioning from static to dynamic functionality while maintaining user-friendly operation through automated or semi-automated control systems
Solution Approach 2:
The system incorporates sensors and monitoring devices that automatically detect sleep stage, body position, temperature, and other physiological parameters. Based on this data, the sleep surface automatically adjusts firmness, temperature, and support characteristics without requiring manual intervention from the sleeper. The system serves itself by using embedded sensors to trigger appropriate adjustments, reducing the need for complex user interfaces while maintaining high adaptability
2Measurement precision
If data collection and analytics infrastructure is expanded to improve sleep quality insights, then measurement precision and personalization improve, but device complexity and cost increase
Solution Approach 1:
The patent integrates multiple sensing functions into unified sensor arrays embedded within the sleep surface. Rather than using separate devices for measuring pressure, temperature, motion, and physiological parameters, the system combines these sensing capabilities into an integrated infrastructure. The collected data from various sensors is processed through centralized analytics that correlate multiple parameters to determine sleep stage and optimize surface adjustments, achieving high measurement precision while managing complexity through integration
Solution Approach 2:
The data infrastructure is designed to serve multiple functions: monitoring sleep stage, detecting body position, measuring temperature, tracking breathing patterns, and guiding surface adjustments. The same sensor network and data processing system support both passive monitoring and active control functions, as well as providing insights for both immediate adjustments and long-term sleep pattern analysis, maximizing the utility of the data infrastructure across different operational modes
Data Source
AI summary
A bed integrates sensors and other inputs to detect specific sleep environment conditions including point-specific pressure and/or temperature conditions. The bed includes a controller for commanding actuator or other devices to adjust these conditions. The controller may do so based on reference patterns for conditions and profiles of desired conditions. Information regarding the conditions may be provided to a remote computer, which may analyze the conditions and provide revised profiles of desired conditions.