Wearable Sleep Intention Detection for Smarter Sleep Analysis
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Solution Overview
Problem
Wearable physiological monitoring devices struggle to differentiate between awakening periods where a user intends to end sleep and those where they intend to return to sleep, leading to unnecessary processing of sleep data.
Innovation Solution
A wearable device that accurately determines sleep intention by evaluating activity associated with awakening, distinguishing between ending sleep and transitory stirring, thereby optimizing data processing by requesting sleep analysis only when the user intends to end sleep.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the wearable device processes sleep data continuously during awakening periods, then sleep quality evaluation can be completed, but processing bandwidth is wasted on premature evaluations when the user intends to return to sleep
Solution Approach 1:
The device performs preliminary detection of sleep intention before initiating full sleep data processing. By evaluating activity patterns and determining whether the user intends to end sleep or return to sleep, the system prepares in advance to either process or discard data, avoiding wasted processing bandwidth on premature evaluations
Solution Approach 2:
The device applies partial processing by performing only the necessary sleep evaluation when sleep ending is detected, while avoiding excessive processing during transitory stirring periods. This selective approach processes only the minimum required data to resolve the sleep intention ambiguity
2Loss of time
If the wearable device requests sleep analysis from remote server frequently, then sleep data becomes available quickly to the user, but unnecessary or redundant server-side processing occurs when the user intends to continue sleeping
Solution Approach 1:
The device performs preliminary local evaluation of activity patterns to determine sleep intention before requesting server analysis. This advance determination allows the system to selectively initiate server communication only when sleep ending is detected, reducing unnecessary server-side processing while maintaining quick data availability when needed
3Quantity of substance
If the wearable device monitors all awakening periods, then comprehensive sleep data is collected, but the device cannot differentiate between intent to awaken and intent to return to sleep
Solution Approach 1:
The device applies different evaluation criteria to different types of awakening periods. By analyzing specific activity patterns and contextual factors, the system distinguishes between local characteristics of sleep-ending awakenings versus transitory stirring, enabling precise differentiation while maintaining comprehensive monitoring
Data Source
AI summary
A wearable physiological monitoring device is configured to determine a wearer's sleep intention. In particular, the device evaluates activity that might be objectively associated with awaking from sleep in order to distinguish between a wearer's intention to end sleep and transitory stirring or other intermittent activity occurring in the context of a longer sleep interval. By evaluating sleep intention more accurately in this manner, the device can advantageously request sleep analysis from a remote server in those instances where a user intends to end a period of sleep (so that this data can be available to the user more quickly), while avoiding unnecessary or redundant server-side processing of sleep data in those instances where a user intends to continue sleeping.