Bedding item selection system and bedding item physical property recognition system
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional sleep evaluation systems rely on subjective user data, leading to ineffective selection of bedding items that do not objectively improve sleep quality, as they fail to accurately assess individual sleep states and often recommend products lacking sleep-enhancing properties.
Innovation Solution
A bedding item selection system that recognizes physical properties of bedding items based on deep sleep rates and sound sleep degrees through biological information measurement and correlation data, allowing for the objective selection of items that enhance sleep quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional sleep evaluation systems use subjective user data to select bedding items, then the system operation is simple, but the selection accuracy and effectiveness are poor
Solution Approach 1:
The patent replaces subjective questionnaire-based evaluation with objective biological information measurement systems. Specifically, it uses brain wave measurement devices to detect actual sleep states (light sleep, deep sleep, REM sleep) and replaces manual evaluation with automated computer-based analysis of physiological data including brain waves, heart rate, and respiration patterns.
Solution Approach 2:
The patent introduces a computer-based information processing system as an intermediary between the user and bedding item selection. This intermediary automatically collects, analyzes, and processes biological information data, then matches it with bedding item database information to objectively determine suitable bedding items, eliminating the need for subjective user input.
2Reliability
If conventional systems select bedding items based on subjective evaluation, then the selection process is quick, but the selected items do not effectively improve sleep quality
Solution Approach 1:
The patent pre-establishes a comprehensive database of bedding items with their physical properties (firmness, material composition, thickness) and pre-collects correlation data between these properties and sleep improvement effects. This preliminary preparation allows the system to quickly match measured biological information with suitable items from the database, enabling rapid and reliable selection without time-consuming manual evaluation.
Solution Approach 2:
The patent implements a feedback mechanism where the system continuously monitors biological information during sleep, compares actual sleep states with target sleep states, and uses this feedback to automatically adjust and optimize bedding item recommendations. The system also collects usage data and sleep improvement outcomes to refine its selection algorithm over time.
Data Source
AI summary
There is provided a bedding item selection system capable of selecting a bedding item easy to improve the state of sleep. A bedding item selection system S1 includes: a plurality of test bedding items T whose physical property including firmness is different from one another; a deep sleep rate calculation unit 1f which calculates a deep sleep rate of a user P based on biological information measured and recorded; a suitable physical property recognition unit 1h which recognize a suitable physical property based on the physical property of a test bedding item T high in deep sleep rate of the user P; and a bedding item selection unit 1j which selects, from a plurality of selectable bedding items M, a bedding item based on the suitable physical property.