Virtual Fitting Apparatus Predicting User State During Exercise
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing virtual fitting techniques do not accurately evaluate wearing items by considering the situation in which exercise is performed while wearing the item.
Innovation Solution
A virtual fitting apparatus and method that acquire physical information on a user, characteristics of a wearing item, and conditions of an exercise, and predict a user state by wearing the item during the exercise, allowing for accurate evaluation of the item.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional virtual fitting technique is used to generate composite image of user wearing item, then visual presentation of fitting is achieved, but accurate evaluation of wearing item performance during exercise is not possible
Solution Approach 1:
The system segments the evaluation process into multiple independent modules: user information acquisition module, wearing item information acquisition module, prediction condition acquisition module, prediction unit, and output unit. Each module handles a specific aspect of the evaluation, allowing complex multi-parameter analysis while maintaining manageable system architecture.
Solution Approach 2:
The prediction unit acts as an intermediary that integrates data from multiple sources (user physical information, wearing item characteristics, exercise conditions) and transforms them into predicted user state information. This mediator component enables accurate evaluation by synthesizing diverse inputs without requiring direct complex interactions between all parameters.
2Loss of information
If only visual composite image is generated for virtual fitting, then fitting appearance is presented, but performance evaluation under specific exercise conditions is insufficient
Solution Approach 1:
The system performs preliminary acquisition and processing of user physical information, wearing item characteristics, and exercise conditions before the actual prediction. This preparatory action ensures all necessary data is ready and structured, enabling efficient comprehensive evaluation without information loss while maintaining high productivity through pre-organized data inputs.
Solution Approach 2:
The prediction unit is designed with multi-functionality to handle various types of inputs (physical information, item characteristics, exercise conditions) and generate comprehensive predicted user states. This universal component can evaluate different wearing items under different exercise conditions using the same framework, preventing information loss while improving evaluation efficiency through standardized processing.
Data Source
AI summary
A virtual fitting apparatus is provided with a user information acquiring unit, a wearing item information acquiring unit, a prediction condition acquiring unit, a prediction unit, and an output unit. The user information acquiring unit acquires physical information on a user. The wearing item information acquiring unit acquires wearing item information related to characteristics of a predetermined wearing item. The prediction condition acquiring unit acquires, as a prediction condition, information related to a situation in which a predetermined exercise is performed. The prediction unit predicts, based on the physical information, the wearing item information, and the prediction condition, a user state resulting when the user does the predetermined exercise by wearing the predetermined wearing item. The output unit outputs information related to the predicted user state.