Wearable Sleep Detection for Naps and 24-Hour Sleep Scoring
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Solution Overview
Problem
Conventional wearable devices fail to accurately track sleep throughout the day, including naps, leading to inaccurate Sleep Scores and Readiness Scores.
Innovation Solution
A wearable device configured to collect data throughout a 24-hour period, detecting both primary and supplemental sleep periods, and adjust Sleep Scores and Readiness Scores based on nap characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional wearable devices only detect sleep during nighttime, then device complexity is reduced and ease of operation is improved, but measurement precision of sleep patterns deteriorates
Solution Approach 1:
The patent segments the 24-hour period into multiple sleep detection windows, allowing the device to identify and track separate sleep periods (primary nighttime sleep and supplemental daytime naps) independently. This segmentation enables comprehensive sleep pattern tracking without requiring a complete system redesign, thus improving measurement precision while managing device complexity.
2Measurement precision
If the system tracks multiple sleep periods throughout 24 hours, then measurement precision of sleep patterns is improved, but loss of information about sleep quality deteriorates
Solution Approach 1:
The system implements feedback mechanisms that continuously monitor sleep parameters across multiple periods and adjust sleep quality assessments accordingly. By providing feedback on detected supplemental sleep periods and their characteristics, the system maintains accurate sleep quality information while tracking multiple sleep events, preventing information loss.
3Adaptability or versatility
If the system adjusts scores based on nap characteristics, then adaptability of sleep guidance is improved, but device complexity increases
Solution Approach 1:
The patent applies partial action by selectively adjusting sleep and readiness scores based on specific nap characteristics (such as duration and timing) rather than applying complex adjustments to all possible parameters. This approach provides adaptable sleep guidance customized to individual nap patterns while avoiding the full complexity of a comprehensive scoring system.
Data Source
AI summary
A method and system for supplemental sleep detection is described. A system may receive data associated with a user from a wearable device worn by the user, and may detect a primary sleep period for the user based on the received data. The system may additionally detect a supplemental sleep period including a duration that exceeds a threshold duration based on the received data. In some implementations, the system may cause a graphical user interface (GUI) of a user device to display an indication of the detected supplemental sleep period, and may receive a confirmation of the supplemental sleep period via the user device and in response to the indication of the detected supplemental sleep period. The system may subsequently generate one or more insights associated with the user based on the primary sleep period and the supplemental sleep period and, in some implementations, in response to the confirmation.