Image Processing Device Exercise Feedback Virtual Object
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Solution Overview
Problem
Existing exercise technologies lack sufficient feedback mechanisms to users, which can diminish motivation and effectiveness in exercise routines, as they do not provide visualized feedback on exercise performance and progress.
Innovation Solution
An image processing device and method that recognizes exercise in input images and superimposes virtual objects on the images to visually represent the effectiveness of the exercise, using a recognition unit, score calculation unit, and display control unit to provide feedback on exercise effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If exercise feedback is provided only in objective form without visualization, then the system complexity is low, but user motivation and exercise effectiveness are insufficient
Solution Approach 1:
The patent implements a feedback mechanism that captures user exercise images, analyzes them to determine exercise effectiveness, and displays the results back to the user. This closed-loop feedback system directly addresses the contradiction by providing motivational visual feedback while maintaining manageable system complexity through automated image processing algorithms.
Solution Approach 2:
The patent introduces an image processing system as an intermediary between the user's exercise actions and the feedback mechanism. This intermediary automatically analyzes exercise images and generates visual feedback, reducing the need for complex direct measurement systems while still providing effective motivational feedback to the user.
2Loss of information
If visualized feedback is provided to show exercise effectiveness, then user motivation is enhanced, but the processing and analysis requirements increase
Solution Approach 1:
The patent extracts only the essential features from exercise images that are relevant to determining exercise effectiveness, such as body position, movement range, and exercise form. By extracting only these critical parameters rather than processing entire images in full detail, the system reduces computational power requirements while still providing meaningful visualized feedback on exercise effectiveness.
3Measurement precision
If detailed exercise analysis is performed to provide accurate feedback, then feedback precision is high, but the time required for processing increases
Solution Approach 1:
The patent implements partial action by analyzing only the most critical aspects of exercise performance that have the greatest impact on effectiveness assessment. Rather than performing exhaustive analysis of every movement detail, the system focuses on key parameters such as overall body position and major joint angles, achieving sufficient measurement precision while minimizing processing time.
Data Source
AI summary
There is provided an image processing device including a recognition unit that recognizes exercise of a person reflected in an input image, and a display control unit that superimposes on the input image a virtual object varying according to effectiveness of the exercise recognized by the recognition unit. The image processing device further includes a score calculation unit that calculates a score denoting the effectiveness of the exercise recognized by the recognition unit, and the display control unit superimposes on the input image the virtual object representing greatness of the score calculated by the score calculation unit.