Posture Identification Using Physique-Specific 3D Model Correction
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Solution Overview
Problem
Conventional posture identification techniques fail to accurately account for individual user physique, leading to decreased accuracy in identifying user posture.
Innovation Solution
A posture identifying device and system that prepare a three-dimensional model based on user physique, using first and second information from measuring devices to correct the model's posture according to specific body part positions and supporting apparatus shapes, enabling precise posture identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a generic three-dimensional model is used for posture identification, then the device complexity is reduced, but the measurement precision deteriorates due to inability to account for individual physique differences
Solution Approach 1:
The system performs preliminary actions by preparing a physique-specific three-dimensional model before posture identification. The model preparing section creates a customized model based on user body data (height, weight, body fat ratio) in advance, which is then used for accurate posture identification. This preliminary model preparation resolves the contradiction by establishing individualized baseline data that improves measurement precision without requiring complex real-time adjustments during actual posture analysis.
Solution Approach 2:
The invention applies local quality by customizing specific parameters of the three-dimensional model according to individual user physique characteristics. Instead of using a uniform generic model, the system adjusts the model's physical properties (dimensions, proportions) to match the specific user's body type. This localized customization of model qualities enables accurate posture identification for each individual while maintaining a standardized overall system architecture.
2Measurement precision
If a physique-specific three-dimensional model is prepared, then the measurement precision improves, but the device complexity increases due to additional model preparation and correction processes
Solution Approach 1:
The system segments the posture identification process into distinct functional modules: a model preparing section that creates the physique-specific model, a model correcting section that adjusts the model based on supporting apparatus shape, and a posture identifying section that performs the actual identification. This segmentation allows each module to handle a specific task, improving measurement precision through specialized processing while managing system complexity through modular design that enables independent development and maintenance of each component.
Solution Approach 2:
The model correcting section implements feedback by continuously adjusting the three-dimensional model based on shape information from the supporting apparatus. The system compares the model's predicted posture with actual sensor data from the supporting apparatus and refines the model accordingly. This feedback mechanism improves measurement precision by eliminating cumulative errors while maintaining system complexity at acceptable levels through iterative refinement rather than requiring perfectly accurate initial models.
Data Source
AI summary
The present disclosure accurately identifies a posture of a user whose body is supported by a supporting apparatus. A posture identifying device includes: a model preparing section configured to prepare a three-dimensional model from body data; a body part position information obtaining section configured to obtain body part position information from a camera; a shape information obtaining section configured to obtain shape information from a shape sensor; a model correcting section configured to correct a posture in the three-dimensional model according to (i) a position of a specific part indicated by the body part position information and (ii) a shape of a seat indicated by the shape information; and a posture identifying section configured to identify a posture of a user from the posture in the three-dimensional model thus corrected.