Contactless Sleep Tracking Radar Sensor Setup
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current technologies lack effective methods for contactless monitoring of sleep patterns and attribution of sleep disturbances, particularly in environments where physical contact with the user or their bed is not feasible, and fail to provide personalized recommendations for improving sleep quality.
Innovation Solution
A contactless sleep tracking device equipped with a radar sensor, processing system, and user interface that uses frequency-modulated continuous wave (FMCW) radar to detect user presence and vital signs, and identifies environmental disturbances, allowing for non-invasive monitoring and attribution of sleep disruptions, with the ability to provide recommendations for improving sleep quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If contactless monitoring is implemented using radar sensors, then user privacy and comfort are improved, but device complexity and setup difficulty increase
Solution Approach 1:
The patent implements an automated setup process that performs preliminary actions to configure the radar sensor automatically. The system conducts consistency analyses and environmental assessments during initial setup, storing results for future use. This eliminates the need for manual configuration in subsequent monitoring sessions, reducing complexity while maintaining privacy through contactless operation.
Solution Approach 2:
The system performs self-configuration through automated consistency analysis of radar data. The processing system automatically assesses environmental conditions, determines optimal monitoring parameters, and configures itself without requiring manual intervention or expert setup, thereby simplifying the device complexity while maintaining contactless privacy benefits.
2Measurement precision
If automated consistency analysis is performed over extended time periods, then sleep tracking accuracy is improved, but energy consumption increases
Solution Approach 1:
The system implements periodic consistency analysis at strategically selected time points rather than continuous monitoring. The processing system performs automated assessments during transitional periods (e.g., when user presence state changes) and uses stored environmental data for routine monitoring, thereby maintaining high measurement precision while significantly reducing energy consumption compared to continuous analysis.
Solution Approach 2:
The system performs preliminary consistency analysis during setup phases and stores environmental baseline data. During actual sleep monitoring, the system compares radar data against pre-stored baselines rather than performing full consistency analyses, maintaining detection accuracy while minimizing energy consumption during extended monitoring periods.
3Loss of information
If multiple environmental disturbances are monitored and attributed, then sleep quality insight is improved, but device complexity and processing requirements increase
Solution Approach 1:
The processing system segments the analysis by categorizing environmental disturbances into distinct types (e.g., motion events, temperature changes, humidity variations, light fluctuations). Each disturbance type is monitored and attributed separately using dedicated processing routines, allowing comprehensive sleep quality insight while managing complexity through modular, organized analysis of individual environmental factors.
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 accurate, non-invasive monitoring of sleep patterns and attribution of disturbances, providing users with actionable insights to enhance sleep quality without the need for physical contact or complex setup, while ensuring privacy and energy efficiency.
Implementation Method 1
The device may comprise a radar sensor housed by the housing. The processing system may be configured to perform a detection process based on data received from the radar sensor to determine whether a user may be present and static.
Implementation Method 2
uses frequency-modulated continuous wave (FMCW) radar to detect user presence and vital signs
Data Source
AI summary
Various arrangements for performing an initial setup process of a sleep tracking device are presented. User input may be received that requests a sleep tracking setup process be performed. In response to the user input, a detection process may be performed based on data received from the radar sensor to determine whether a user is present and static. In response to the detection process determining that the user is present and static, a consistency analysis may be performed over a time period to assess a duration of time that the user is present and static. Based on the consistency analysis, sleep tracking may be activated such that when the user is detected in bed via the radar sensor, the user's sleep is tracked.