Sleep Ring Feedback for Adaptive Bedtime Preparation
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Solution Overview
Problem
Wearable devices primarily focus on data collection without providing users with actionable insights or interventions to improve their physiological state, particularly for sleep preparation.
Innovation Solution
A wearable device equipped with physiological sensors and context sensors that monitor user readiness for sleep and suggest personalized sleep preparation exercises, track compliance, and adjust interventions based on real-time data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If wearable devices focus on data collection only, then data gathering capability is improved, but user engagement and actionable insights deteriorate
Solution Approach 1:
The system implements feedback by continuously monitoring physiological data and providing real-time notifications to users when sleep patterns deviate from targets. The notification system delivers actionable insights that prompt user engagement, transforming raw data into meaningful feedback loops that encourage behavioral adjustment and improved sleep habits
Solution Approach 2:
The patent introduces an intermediary processing layer between data collection sensors and user interaction. This intermediary analyzes physiological data, compares it against target sleep patterns, and generates notifications only when intervention is needed. This mediator transforms continuous data streams into discrete, actionable insights that enhance user engagement without requiring constant user attention
2Measurement precision
If continuous physiological monitoring is implemented, then sleep pattern detection accuracy is improved, but energy consumption increases
Solution Approach 1:
The system employs periodic action by monitoring physiological parameters continuously but only activating full analysis and notification generation when sleep events are detected or when deviations from target patterns occur. During stable sleep periods, monitoring continues at lower intensity, reducing energy consumption while maintaining detection accuracy for significant events
Solution Approach 2:
The patent applies parameter changes by dynamically adjusting monitoring intensity based on sleep stage detection. During REM and deep sleep stages where precision is most critical, the system increases sampling rates and analysis depth. During lighter sleep or wake periods, monitoring parameters are relaxed to conserve battery life, optimizing the balance between accuracy and energy usage
3Ease of operation
If personalized sleep preparation exercises are provided, then user readiness for sleep is improved, but device complexity increases
Solution Approach 1:
The system implements preliminary action by providing sleep preparation exercises and notifications before the user actually needs to sleep. By detecting early signs of sleep readiness or deviations from target patterns, the system proactively delivers guidance, breathing exercises, or environmental adjustments in advance, allowing users to prepare for sleep without last-minute complexity
Solution Approach 2:
The patent applies segmentation by dividing the sleep intervention system into modular components: physiological sensing modules, target pattern storage, comparison logic, and notification delivery. Each component handles a specific function independently, allowing the system to provide personalized exercises without requiring the entire system to be complex. Users receive only the specific interventions their physiology requires
Data Source
AI summary
Sleep management ring includes one or more physiological sensors configured to detect one or more physiological indicators of a user. An output device includes one or more context sensors. One or more processors executing instructions, on a memory to: receive one or more indicators of a bedtime from the context sensors; receive the physiological indicators; recommend a sleep preparation exercise for a user to perform; determine a change in the one or more physiological parameters and/or the one or more indicators of the bedtime after recording the sleep preparation exercise; and adjust the sleep preparation exercise based on one of the effectiveness of the sleep preparation exercise and the one or more physiological indicators as measured by the one or more physiological sensors of the wearable device.