Sleep State Detection Using Terminal Verification
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Solution Overview
Problem
Wearable devices often inaccurately calculate sleep duration and quality due to miscalculations in sleep state detection, leading to a poor user experience.
Innovation Solution
A method where a smart wearable device sends a state checking request to a terminal to verify sensor data and operation events of a preset application, determining the user's sleep state based on feedback, thereby preventing misjudgments and ensuring accurate sleep duration calculation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the wearable device determines sleep state solely based on its own sensor data, then the device complexity is reduced, but the measurement precision of sleep duration deteriorates
Solution Approach 1:
The terminal device acts as an intermediary between the wearable device and the cloud server. It collects sensor data from the wearable device, performs preliminary processing and sleep state determination, then transmits results to the cloud server. This distributes computational complexity across multiple devices, improving sleep duration measurement precision without concentrating all complexity in one device.
Solution Approach 2:
The sleep detection system is segmented into three functional parts: the wearable device (data collection), the terminal device (data processing and sleep state determination), and the cloud server (data storage and analysis). This segmentation allows each component to perform its specialized function, improving overall measurement precision while distributing system complexity across multiple elements.
2Measurement precision
If the wearable device uses multiple data sources for sleep detection, then the measurement precision improves, but the loss of information increases
Solution Approach 1:
The terminal device performs partial sleep state determination locally using available sensor data, then only transmits the determined sleep states and relevant summary information to the cloud server. This partial processing reduces data transmission overhead compared to transmitting all raw sensor data, while still achieving improved measurement precision through multi-source data integration.
3Measurement precision
If the wearable device frequently checks sleep conditions, then the measurement precision improves, but the use of energy increases
Solution Approach 1:
The system implements periodic sleep condition checking rather than continuous monitoring. The wearable device collects sensor data periodically, the terminal device processes this data periodically to determine sleep states, and results are transmitted to the cloud server periodically. This periodic approach maintains measurement precision by capturing sleep state changes at appropriate intervals while significantly reducing power consumption compared to continuous monitoring.
Data Source
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AI summary
The present invention is related to a sleep state detection method, apparatus and system. The method comprises: upon detecting that a current state of a user satisfies a preset sleep condition, sending a state checking request to a terminal, so that the terminal checks sensor data and/or an operation event of a preset application on the terminal according to the state checking request, wherein the terminal is bound to the smart wearable device; receiving state information, which is fed back by the terminal based on a result of the checking; and determining whether the user enters a sleep state, based on the state information. With this solution, the smart wearable device determines whether the user enters the sleep state with the assistance of the terminal, thereby preventing the smart wearable device from miscalculating the user's sleep duration and even misjudging that a sleep quality problem occurs, ensuring the accuracy of calculating the user's sleep duration and improving the user experience.