Radar Sleep Monitoring Privacy Protection
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Solution Overview
Problem
Radar detection systems used in sleep research face challenges in distinguishing between sleep-related movements and intimate activities, making it difficult to accurately monitor and record sleep patterns without invading privacy.
Innovation Solution
A method and apparatus that process radar data to determine baseline positioning information and changes indicative of intimate activities, allowing for the exclusion of such data from sleep records while maintaining user privacy, using a radar detection device to differentiate between sleep and non-sleep activities based on positional changes, intensity, frequency, and distance variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radar detection systems monitor all movements in bed, then sleep pattern data collection is comprehensive, but privacy is compromised due to inability to distinguish intimate activities
Solution Approach 1:
The patent segments the monitoring data by identifying and separating intimate activity periods from sleep periods using temporal indicators (start and end times). This allows the system to process and analyze sleep data while excluding intimate activity data, thereby maintaining measurement precision for sleep monitoring while protecting privacy through selective data segmentation.
Solution Approach 2:
The patent extracts and removes intimate activity data from the overall monitoring record by detecting specific movement patterns characteristic of intimate activities. The system identifies these activities through analysis of body profile movements and extracts their temporal boundaries, then excludes this extracted data from the final sleep record, preserving privacy while maintaining comprehensive sleep monitoring.
2Measurement precision
If radar systems detect subtle movements for sleep analysis, then sleep behavior monitoring is detailed, but differentiation between sleep and awake activities becomes difficult
Solution Approach 1:
The patent applies dynamic analysis by continuously monitoring movement patterns over time and identifying characteristic sequences associated with intimate activities. The system uses temporal indicators and analyzes the dynamics of body profile changes, including the rate and pattern of movements, to differentiate intimate activities from normal sleep movements, thereby resolving the difficulty of activity discrimination while maintaining high movement detection sensitivity.
Solution Approach 2:
The system uses feedback from continuous radar monitoring to adjust its detection algorithms. By analyzing detected movements and comparing them against known patterns of sleep and intimate activities, the system refines its ability to discriminate between activity types. The feedback loop allows the system to learn from detected patterns and improve differentiation accuracy while maintaining sensitive detection of subtle movements.
3Quantity of substance
If the system records all detected activities, then data completeness is maintained, but user privacy is violated through inclusion of intimate activity data
Solution Approach 1:
The patent applies preliminary action by pre-defining temporal indicators and detection criteria for intimate activities before data recording begins. The system establishes the framework for identifying and excluding intimate activity data in advance, allowing it to selectively record only sleep-related data while maintaining overall data completeness for sleep analysis. This preliminary setup enables automatic privacy protection without compromising the completeness of sleep monitoring data.
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
Effectively discriminates between sleep and intimate activities, enabling accurate sleep pattern monitoring while ensuring user privacy by obscuring or deleting intimate activity data from records.
Implementation Method 1
receiving a baseline position indication according to a radar signal detected from a radar detection device
Data Source
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AI summary
A method, apparatus and computer program product are provided for determining an intimate activity has occurred based on data collected with a radar detection device. Data relating to sleep patterns, such as of a sleep study participant, may be collected with a radar detection device in close proximity to a bed or other reference point. The data may be processed to determine occurrence of intimate activities, based on detected movements and/or positions of body profiles relative to each other and/or to a common reference point. The data corresponding to intimate activities may therefore be appropriately processed, such as by being excluded from the sleep record data to provide privacy to a user.