Bed Force Sensor Segmentation for User Position and Posture Detection
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Solution Overview
Problem
Existing beds lack the ability to accurately determine the position, posture, and weight distribution of users, which can affect user comfort and the adjustment of bed settings for personalized comfort and health monitoring.
Innovation Solution
A bed system equipped with force sensors and a computing system that analyzes force data to identify a target-region and determine user position, posture, and weight distribution, using thresholds and ratios to differentiate between users and their positions on the bed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If force sensors are installed under each support member to sense user weight distribution, then measurement precision of user position and posture is improved, but device complexity increases
Solution Approach 1:
The bed is divided into multiple support members (first support member, second support member, third support member, fourth support member) with force sensors installed under each one. This segmentation allows independent measurement of weight distribution at different locations, enabling precise determination of user position and posture through comparative analysis of force values from each segment.
2Measurement precision
If multiple force sensors are deployed to determine user presence and position, then measurement precision is improved, but loss of information increases due to complex data processing requirements
Solution Approach 1:
The computing system continuously receives force values from all force sensors and performs comparative analysis to determine user presence, position, and posture. The system uses feedback loops where force data from multiple sensors is processed together - comparing force values between support members to identify user location, and using threshold comparisons to determine presence. This feedback mechanism transforms complex multi-sensor data into clear positional and postural information.
3Reliability
If the bed system continuously monitors force data to determine user parameters, then reliability of health monitoring is improved, but use of energy increases
Solution Approach 1:
The force sensors continuously monitor weight distribution on the bed, and the computing system continuously processes force data to determine user presence, position, and posture parameters. This continuous monitoring provides reliable health monitoring data without interruption, enabling accurate tracking of user state changes throughout the night while maintaining consistent measurement quality.
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
Enables precise determination of user presence, posture, and weight, allowing for personalized adjustments in bed firmness, temperature, and health monitoring, enhancing user comfort and sleep quality.
Implementation Method 1
for each support member, a force sensor configured to: sense force applied to the support member by at least a first user of the bed
Data Source
AI summary
A device may include a bed comprising: a sleep surface having a target-region and a nontarget-region; at least two support members; for each support member, a force sensor configured to: sense force applied to the support member by at least a first user of the bed; and transmit to a computing system a datastream of force values based on the sensed force; a computing system comprising at least one processor and memory, the computing system configured to: receive, from the force sensors, the datastreams; determine, based on the force values, if the first user is in the target-region; and determine, based on a determination that the first user is in the target-region, at least one parameter of presence in the bed of the first user.