Bed with Pressure Sensing for Automatic User Interface Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current bed technologies lack the ability to automatically sense user context and adjust environmental settings and user interfaces without manual input, limiting their automation and usability.
Innovation Solution
A system that includes sensors to generate pressure data, a processor to determine user states, and a user-interface device capable of selecting appropriate interfaces based on user presence, time, and biometric readings, allowing for automatic adjustments to environmental settings and device interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the bed includes sensors and processors to sense user context and automatically adjust settings, then the automation and usability are improved, but the device complexity increases
Solution Approach 1:
The bed system automatically senses user presence, determines user state (sleeping, awake, reading), and adjusts environmental settings without requiring manual user input. The system serves itself by using sensors to detect user context and autonomously making adjustments, eliminating the need for users to manually control each setting.
Solution Approach 2:
The bed system integrates multiple functions including pressure sensing, biometric monitoring, environmental control, and user interface management into a single unified system. This multi-functionality allows the bed to handle various user states and preferences through a single automated platform, managing complexity through consolidation rather than separate independent systems.
2Measurement precision
If the system collects and processes multiple types of user data (pressure data, biometric readings, time), then the user interface selection accuracy is improved, but the information processing complexity increases
Solution Approach 1:
The user interface selection process is segmented into distinct stages: first detecting user presence through pressure sensors, then determining user state (sleeping, awake, reading) based on pressure distribution patterns, and finally selecting the appropriate user interface based on the determined state. This segmentation allows the system to process multiple data types in a structured manner without overwhelming complexity.
Solution Approach 2:
The system continuously monitors user context through sensors and uses this feedback to dynamically adjust the user interface selection. The feedback loop ensures that the system adapts to changing user states in real-time, improving accuracy by constantly refining its understanding of user needs based on sensed data patterns.
Data Source
AI summary
In some implementations, a system includes a bed having a mattress. The system further includes a sensor configured to generate pressure data of the mattress. The system further includes a processor device configured to receive the pressure data; and determine a user state from at least the pressure data. The system further includes a user-interface device comprising user-interface hardware that is capable of providing user interfaces, the user-interface device configured to select, from a plurality of available user interfaces, a selected user interface; and providing the selected user interface to a user. Other systems, methods, devices, products, and software may be used.