Contactless Sleep Scoring via Biometric and Environmental Monitoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current technologies lack effective solutions for assessing and improving the quality of sleep, as poor sleep can be caused by various factors such as ambient noise, stress, and medical conditions, necessitating a device that can track and provide objective metrics for sleep quality.
Innovation Solution
A sleep scoring device equipped with a contactless biometric sensor, processor, memory, and microphone that detects heart rate, respiratory rate, movement, and environmental factors to generate a sleep score, log sleep data, and provide recommendations for improving sleep quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a contactless biometric sensor is used to detect sleep state, then measurement precision of sleep quality is improved, but device complexity increases
Solution Approach 1:
The patent uses contactless biometric sensors that detect physiological parameters (heart rate, respiration, movement) through intermediate physical phenomena rather than direct contact. These sensors act as intermediaries between the user's body and the processing system, enabling non-invasive measurement while maintaining accuracy through detection of subtle biological signals.
Solution Approach 2:
The sleep scoring device integrates multiple functions into a single system: contactless biometric sensing, environmental factor monitoring, sleep stage detection, and recommendation generation. This multi-functional approach consolidates what would otherwise require separate devices, reducing overall system complexity while maintaining measurement precision.
2Reliability
If multiple environmental factors are monitored simultaneously, then reliability of sleep quality assessment is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple environmental sensors (temperature, humidity, light, noise) and biometric sensors into a single integrated monitoring system. All these sensors and the processing unit work together as one unified device, collecting and analyzing multiple data streams simultaneously to provide comprehensive sleep quality assessment without requiring separate monitoring systems.
Solution Approach 2:
The system continuously monitors environmental and biometric parameters, processes this data in real-time, and generates feedback in the form of sleep scores and improvement recommendations. This feedback loop allows the system to adapt and refine its assessments based on accumulated data, improving reliability over time while maintaining a single integrated device architecture.
3Loss of information
If comprehensive sleep data is logged and analyzed, then loss of information is reduced, but device complexity increases
Solution Approach 1:
The system performs preliminary processing and organization of sleep data during the sleep session itself, logging biometric readings, environmental factors, and sleep stages as they occur. By capturing and structuring this data in real-time, the system ensures comprehensive information retention without requiring complex post-processing operations, thereby reducing overall system complexity.
Solution Approach 2:
The patent segments sleep data into distinct categories (biometric information, environmental factors, sleep stages, wake events) and processes each segment separately. This segmentation allows the system to manage comprehensive data sets through modular processing routines, reducing the complexity burden of handling all data simultaneously while maintaining complete information retention.
Data Source
AI summary
A sleep scoring device is provided for, including a contactless biometric sensor, a processor, memory, and a microphone. The sleep scoring device may detect a user's sleep state by reading signals from the contactless biometric sensor based on at least one of a detected change in heartrate, body movement, or respiration, and log the biometric information. The sleep scoring device may also generate a sleep score for a sleep session based on the latency of the sleep session, the number of detected waking events, the amount of REM sleep, the amount of deep sleep, or the number of times the snooze button was pressed during the sleep session.