Monitor-Mounted Distance Sensing for Detailed Sitting Posture Classification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional posture classification technologies face challenges such as complexity in calculations, inconvenience due to body-worn sensors, and limitations in subdividing and classifying postures, and providing detailed error notifications, and the inability to provide detailed error notifications depending on changes in user's posture, and the existing technologies for classifying postures, and the inability to provide detailed error notifications depending on changes in user's posture.
Innovation Solution
A sitting posture determination device and method that uses distance sensors installed at the top and bottom portions of a monitor to measure distances from a user, generating measurement data, determining out-of-range values, and classifying postures, and providing detailed error notifications depending on changes in user's posture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image analysis is used to calculate angles of spine and face for posture classification, then posture classification capability is improved, but calculation complexity increases
Solution Approach 1:
The patent replaces complex image analysis and angle calculation with a simplified distance measurement system. Instead of using cameras to capture images and calculate spine/face angles through complex image processing algorithms, the invention uses distance sensors to directly measure the distance between the user and the monitor. This substitution of measurement methodology dramatically reduces calculation complexity while maintaining posture classification capability through multi-point distance measurements.
2Measurement precision
If body-worn sensors are used to measure posture, then measurement accuracy is improved, but user convenience deteriorates due to sensor attachment requirements
Solution Approach 1:
The patent creates a copy of the measurement function by placing distance sensors on the monitor rather than on the user's body. Instead of requiring sensors to be attached to the user, the system copies the measurement capability to the monitor itself, using multiple distance sensors positioned at different locations to infer posture information. This eliminates the need for body-worn sensors while maintaining measurement accuracy through multi-point measurements.
3Device complexity
If single distance measurement is used from user's face, then device simplicity is improved, but posture classification detail deteriorates
Solution Approach 1:
The patent segments the single distance measurement into multiple distance measurements taken at different positions. Instead of using one distance sensor positioned at a single location, the invention places multiple distance sensors at different positions (e.g., top-left, top-right, bottom-left, bottom-right of the monitor). This segmentation of the measurement system enables detailed posture classification by comparing distance variations across multiple measurement points, while the overall device structure remains relatively simple.
4Measurement precision
If conventional posture classification is used, then basic posture detection is improved, but error notification capability deteriorates
Solution Approach 1:
The patent implements a feedback mechanism that provides detailed error notifications based on posture classification results. The system not only detects posture deviations but also provides specific feedback information about the type and nature of the incorrect posture. By using multiple distance sensors to classify specific posture types (e.g., leaning left, leaning right, incorrect distance), the system can provide targeted error notifications that guide users toward correct posture, thereby reducing information loss about posture errors.
Data Source
AI summary
A sitting posture determination device and a method thereof are proposed. The device includes a measurement data generation unit for generating measurement data composed of top portion measurement values and bottom portion measurement values for time points over time by receiving the top and bottom portion measurement values respectively input from top and bottom portion distance sensors, a correct posture determination unit for outputting a time point-specific top portion measurement value and bottom portion measurement value, which are out of a range preset for correct posture, by extracting the top and bottom portion measurement values from the measurement data and comparing the top and bottom portion measurement values with the range preset for the correct posture, and a posture classification unit for selecting and outputting any one of classification values corresponding to postures preset according to the top and bottom portion measurement values at each time point.


