Non-contact Sleep State Detection Using Facial Image Processing
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Solution Overview
Problem
Current home network systems lack an effective method for determining and managing a user's sleep state and providing corresponding control over home appliances in a non-contact manner.
Innovation Solution
A user terminal and sleep management method that utilize a sleep data acquisition apparatus to detect heart rate, respiration rate, and movement, generating sleep data which is then used to determine the sleep state and provide sleep information, allowing for the control of home appliances based on the user's sleep state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If contact-based sleep detection methods are used, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent replaces contact-based mechanical sensors with optical sensors (camera) to detect sleep states. The camera captures facial images non-contactly, and image processing algorithms analyze facial muscle movements, eye closure, and other physiological indicators to determine sleep stages, thereby maintaining measurement precision while improving ease of operation.
Solution Approach 2:
The patent introduces an intermediary image processing system that mediates between the user and the detection system. The processing unit analyzes facial images to extract sleep-related information without requiring direct contact with the user's body, thus achieving both accurate sleep state detection and non-intrusive operation.
2Measurement precision
If multiple sensors are deployed to improve sleep detection accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent makes the camera serve multiple functions: it captures facial images for sleep detection, records video for later analysis, and can potentially monitor other physiological parameters. This multi-functionality allows the system to achieve comprehensive sleep monitoring without adding dedicated sensors for each function, thereby reducing device complexity while maintaining measurement precision.
Solution Approach 2:
The patent combines multiple detection capabilities into a single imaging system. By merging sleep stage detection, sleep duration measurement, and sleep quality assessment into one integrated camera-based system with centralized image processing, the patent reduces the number of separate components needed while maintaining comprehensive and accurate sleep monitoring.
Data Source
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AI summary
Disclosed herein are a sleep management method includes obtaining sleep data of a user, obtaining a sleep state of the user on the basis of the sleep data, and controlling at least one home appliance on the basis of the sleep state of the user, and the sleep data includes signals corresponding to a heart rate, respiration rate, and movement of the user detected by a piezoelectric sensor.