Area Sensor Sleep Tracking via Motion Detection
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Solution Overview
Problem
Current sleep tracking technologies are invasive and require direct interaction with users, making them cumbersome and unreliable for accurately monitoring sleep phases and adjusting sleep environments to improve sleep quality.
Innovation Solution
A non-invasive sleep tracking system utilizing area motion sensors, such as passive infrared sensors, that detect motion or lack thereof, combined with machine learning and sensor fusion to identify sleep phases and adjust the environment for optimal sleep conditions, including lighting, temperature, and music, without the need for direct user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current sleep tracking technologies are used, then sleep phases can be monitored, but the system becomes invasive and requires direct interaction with users
Solution Approach 1:
The patent introduces an area sensor as an intermediary device that indirectly monitors sleep phases by detecting motion in the sleeping area rather than requiring direct contact with the user. The sensor detects changes in the electromagnetic field or motion patterns in the bed area, which correlate with sleep states, thereby eliminating the need for direct user interaction while maintaining monitoring capability
Solution Approach 2:
The patent replaces mechanical or direct-contact sensing systems with field-based detection using area sensors. Instead of requiring physical contact sensors on the user's body, the system uses electromagnetic field sensors or motion detectors that sense changes in the sleeping area, substituting mechanical interaction with field-based detection
2Reliability
If contact-based sensors are used for sleep tracking, then direct user data can be collected, but the system becomes cumbersome and unreliable
Solution Approach 1:
The patent extracts the sensing function from the user's body and places it in the environment (bed area). By taking out the sensor from direct contact with the user and positioning it in the sleeping area, the system reduces complexity associated with user setup while maintaining reliable detection of sleep-related motion patterns and environmental changes
Solution Approach 2:
The area sensor system operates autonomously by continuously monitoring the sleeping area without requiring user activation or interaction. The sensor automatically detects motion patterns, temperature changes, and other environmental factors to determine sleep phases, making the system self-sufficient and eliminating complex user setup procedures
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
The system effectively monitors and improves sleep quality by accurately determining sleep phases and adjusting the environment to enhance deep sleep duration and wake users at the optimal time, ensuring they feel refreshed, while being cost-effective and reliable.
Implementation Method 1
An area motion sensor is a motion sensor that does not rely on being in contact with the user. The area motion sensor in one embodiment is one of a passive infrared (PIR)... which indicates motion or lack of motion.
Data Source
AI summary
Devices, systems and methods that track various aspects of a person's sleep and environment to optimize one or more aspects of the user's environment and sleep conditions, quality and duration, together or alone, and help make the one or more users maintain and prolong his or her deep sleep status and improve the their sleep duration and quality.