Spatial Pattern Grading for Exercise Motivation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing exercise applications fail to effectively motivate users to engage in physical activity and improve fitness, as they often involve repetitive and boring exercises like running or push-ups, lacking variability and social interaction.
Innovation Solution
A method and system for grading spatial painting using electronic apparatuses, where users draw a second spatial pattern based on a given first pattern, calculating similarity and moving parameters to enhance physical fitness and imagination, while reducing phone usage time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional exercise applications use simple repetitive exercises like running and push-ups, then the exercise effectiveness is maintained, but the user interest and motivation decrease due to boredom and lack of variability
Solution Approach 1:
The patent transitions from traditional two-dimensional screen-based exercise applications to three-dimensional spatial painting exercises. Users physically move the electronic apparatus through 3D space to create spatial patterns, adding a spatial dimension to exercise. This transforms monotone repetitive movements into varied spatial trajectories while maintaining exercise effectiveness through continuous physical movement.
Solution Approach 2:
The system dynamically adjusts exercise parameters including spatial pattern complexity, movement speed requirements, and grading criteria. The grading system adapts to user performance by comparing drawn spatial patterns against target patterns, providing real-time feedback and adjusting difficulty levels to maintain both effectiveness and user engagement.
2Ease of operation
If exercise applications focus on simple repetitive movements, then the exercise can be performed easily, but the user motivation and social interaction decrease
Solution Approach 1:
The system implements a comprehensive feedback mechanism through the grading system that compares user-drawn spatial patterns against target patterns. The system provides immediate feedback on similarity scores and performance metrics, motivating users to improve while maintaining ease of operation. This feedback loop creates engagement without increasing operational complexity.
Solution Approach 2:
The electronic apparatus serves multiple functions: it acts as both the exercise tool for creating spatial patterns and the grading device for evaluating performance. The system combines exercise functionality with assessment and social sharing capabilities, allowing users to easily perform exercises while gaining access to comprehensive feedback and social interaction features.
3Duration of action of moving object
If users spend more time on exercise applications, then physical fitness improves, but time spent on other activities like social interaction may decrease
Solution Approach 1:
The spatial painting exercise system enables continuous physical movement through varied spatial trajectories rather than repetitive motions. Users can maintain exercise intensity for longer periods by transitioning between different spatial patterns and complexity levels, making extended exercise sessions more engaging and less monotonous than traditional exercises.
Solution Approach 2:
The system varies multiple exercise parameters including spatial pattern complexity, movement speed, trajectory dimensions, and grading criteria to maintain user engagement during extended exercise sessions. These parameter changes allow users to exercise for longer durations without experiencing boredom, optimizing the balance between exercise duration and overall time management.
Data Source
AI summary
A method for grading spatial painting, apparatus and system for grading spatial painting are proposed. The method includes: generating a first spatial pattern; recording a moving trace and a plurality of moving parameters of an electronic apparatus and transforming the recorded moving trace into a second spatial pattern; calculating a similarity between the first and the second spatial pattern; and calculating a grade for completing the second spatial pattern according to the moving parameters and the similarity.