Smart Bed Snore Detection Using Pressure and Acoustic Sensors
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Solution Overview
Problem
Existing bed systems lack effective snore detection capabilities, leading to inefficiencies in addressing snoring issues for users.
Innovation Solution
Integration of pressure and acoustic sensors with machine-learning classifiers to detect snore states, allowing the bed to adjust its settings based on user snoring patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pressure and acoustic sensors are integrated with machine-learning classifiers to detect snore states, then snore detection accuracy is improved, but device complexity increases
Solution Approach 1:
The snore detection system is segmented into multiple independent components: pressure sensors embedded in the mattress, acoustic sensors positioned around the bed, and a remote server hosting machine-learning classifiers. This segmentation allows each component to be optimized independently while maintaining overall system accuracy, resolving the contradiction between detection precision and device complexity.
Solution Approach 2:
A remote server acts as an intermediary between the bed system and the machine-learning classifiers. The sensors transmit raw data to the remote server where complex classification algorithms process the information. This intermediary approach enables high detection accuracy without requiring complex hardware within the bed itself, thus managing device complexity while maintaining measurement precision.
2Productivity
If the bed system operates automatically based on determined snore state, then productivity is improved, but device complexity increases
Solution Approach 1:
The bed system automatically determines snore states and implements corrective actions without requiring user intervention. The controller monitors sensor data, classifies snore events, and autonomously adjusts mattress firmness or activates white noise generators. This self-service capability improves operational efficiency by eliminating manual intervention while the automated nature of the process helps manage complexity through standardized algorithms.
Solution Approach 2:
The system implements continuous feedback loops where sensor data feeds into machine-learning classifiers that determine snore states, which then trigger automated bed adjustments. These adjustments are monitored by the same sensor system, creating a closed-loop feedback mechanism. This feedback approach enables productive automated operation while using established control theory principles to manage system complexity.
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
Enhances snore detection accuracy and responsiveness, enabling personalized adjustments to mitigate snoring through features like changing mattress firmness or emitting white noise.
Implementation Method 1
a first pressure sensor in communication with the first mattress to sense pressure applied to the first mattress
Implementation Method 2
a first acoustic sensor placed to sense acoustics from a user on the first mattress
Data Source
AI summary
A first bed that includes a first mattress, a first pressure sensor, a first acoustic sensor, and a first controller in data communication with the first pressure sensor and the first acoustic sensor. The first controller is configured to receive first pressure readings and first acoustic readings. The first controller is further configured to transmit the first pressure readings and the first acoustic readings to a remote server. A second controller is configured to receive the one or more snore classifiers. The second controller is further configured to run the received snore classifiers on second pressure readings and on second acoustic readings in order to collect one or more snore votes from the running snore classifiers. The second controller is further configured to determine a snore state of a user on the second bed and operate the bed system according to the determined snore state.