Sensor-Embedded Mattress Sleep Analysis Without Wearable Monitors
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Solution Overview
Problem
Existing sleep state monitoring systems require users to wear separate equipment, causing inconvenience and making it difficult for users to accurately analyze and improve their sleep states based on biometric information.
Innovation Solution
A system comprising a detection unit with various sensors (pressure, vibration, acoustic, etc.) embedded in a mattress to collect biometric data, a memory unit to store this data, and an analysis unit to generate sleep state analysis information and improvement guides without disturbing the user's sleep.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users wear separate equipment to monitor sleep state, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent combines multiple sensors (pressure, vibration, acoustic) and processing units into a single integrated mattress system. This merging eliminates the need for users to wear separate monitoring equipment while maintaining comprehensive sleep state measurement capabilities through the integrated sensor array embedded in the mattress structure.
Solution Approach 2:
The patent introduces an intermediary processing system that collects and analyzes biometric data from various sensors automatically. This intermediary layer processes the raw sensor signals and provides interpreted sleep state information to users, eliminating the need for users to directly interact with or wear complex monitoring equipment.
2Measurement precision
If detailed sleep state information is provided to users, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent implements a feedback mechanism that provides users with processed sleep state information in an easily understandable format. The system analyzes detailed biometric data and returns summarized insights with actionable recommendations, enabling users to grasp their sleep quality without being overwhelmed by raw technical data.
Solution Approach 2:
The patent transforms complex sensor data into simplified parameters and categories that users can easily interpret. By converting raw biometric signals into classified sleep state information (such as sleep stages, quality scores, and patterns), the system makes detailed measurement results accessible to users with varying levels of technical understanding.
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
Accurately analyzes sleep states in both short and long terms, providing actionable guides to improve sleep quality by integrating biometric data analysis into the user's environment, enhancing user convenience and accuracy.
Implementation Method 1
a pressure sensor, a vibration sensor, a position sensor, an acoustic sensor, an infrared sensor, a motion sensor
Implementation Method 2
a pressure sensor, a vibration sensor, a position sensor, an acoustic sensor, an infrared sensor, a motion sensor
Implementation Method 3
a pressure sensor, a vibration sensor, a position sensor, an acoustic sensor, an infrared sensor, a motion sensor
Data Source
AI summary
The present invention relates to a system for providing sleep state analysis information and an improvement guide, and method therefor. More particularly, a system for providing sleep information analysis information and an improvement guide, according to an embodiment of the present invention, comprises: at least one layer unit that has a plurality of components; a detection unit that is provided in the layer unit, and detects biometric information of a user; a memory unit that stores the biometric information of the user detected by the detection unit; and an analysis unit that analyzes a sleep state of the user on the basis of the biometric information of the user stored in the memory unit, and generates sleep state analysis information of the user.