RF Sensor Sleep Latency Detection
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Solution Overview
Problem
Existing electronic devices require user engagement or intervention to measure sleep information, which is inconvenient, especially since sleep latency from intended sleep time to actual sleep time is a crucial parameter for determining sleep state.
Innovation Solution
An electronic device equipped with a biometric signal detection sensor and processor that acquires and analyzes biometric information to determine sleep state and latency without user intervention, using RF sensors to transmit and receive signals to identify changes indicative of sleep intentions and actual sleep onset.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If user engagement or intervention is required to measure sleep information, then measurement precision can be improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically detects sleep-related parameters by monitoring biometric signals without requiring user participation. The processor autonomously identifies sleep stages, calculates sleep latency, and generates reports, allowing the user to passively receive sleep analysis while sleeping.
Solution Approach 2:
The patent replaces manual user input methods with automatic sensor-based detection. Instead of requiring users to fill out sleep diaries or press buttons, the system uses biometric sensors to detect physiological signals and automatically processes this data to determine sleep parameters.
2Measurement precision
If user engagement is required to determine sleep latency, then measurement precision improves, but ease of operation worsens
Solution Approach 1:
The system automatically determines sleep latency by analyzing biometric signal changes without user input. The processor identifies the time point when the user intends to sleep and when actual sleep begins by monitoring physiological parameters, autonomously calculating the latency period.
Solution Approach 2:
The system performs preliminary detection of sleep intention by monitoring biometric signals before actual sleep occurs. By detecting changes in physiological parameters that indicate the user is preparing to sleep, the system can accurately mark the start of sleep latency measurement without requiring user notification.
3Ease of operation
If RF sensors are used to detect sleep state remotely, then ease of operation improves, but device complexity increases
Solution Approach 1:
The RF sensor system is designed to perform multiple functions: detecting presence, monitoring biometric signals, determining sleep stages, and calculating sleep latency. This multi-functionality reduces the need for separate specialized devices while maintaining comprehensive sleep monitoring capabilities.
Solution Approach 2:
The system uses RF signals as an intermediary to non-invasively detect biometric information. The RF sensor acts as a mediator between the user and the processing system, transmitting physiological data through radio frequency without requiring direct contact or complex sensor placement on the user's body.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the determination of sleep latency and state without user input, providing a convenient and non-intrusive method for monitoring sleep parameters.
Implementation Method 1
an RF sensor configured to transmit a Radio Frequency (RF) signal and receive a reflection signal of the RF signal
Data Source
AI summary
An electronic device according to various embodiments comprises: a bio-signal detection sensor configured to acquire first and second biometric information on an object outside the electronic device; and a processor, wherein the processor can be configured to: acquire the first and second biometric information by using the bio-signal detection sensor; configure a first variance, in which the first biometric information is changed, and a second variance, in which the second biometric information is changed; determining a state of the object related to the sleep on the basis of at least a part of the first variance and the second variance; and estimate a sleep latency related to the object on the basis of at least a part of the state.