Exercise Guidance Layout Using Space and Posture Detection
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Solution Overview
Problem
Existing exercise guidance technologies lack personalized and efficient methods for optimizing exercise routines based on user-specific information, such as space utilization, posture, and emotional state, leading to suboptimal exercise experiences.
Innovation Solution
An electronic apparatus that utilizes image processing and machine learning to identify user posture, space layout, and emotional state, and adjusts exercise guidance accordingly, including feedback through display and camera placement for personalized exercise guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If exercise guidance is provided without considering space utilization and user-specific information, then the system is simple and easy to operate, but the exercise effectiveness and personalization are suboptimal
Solution Approach 1:
The system performs preliminary actions by capturing images of the exercise space and user posture before providing exercise guidance. The processor analyzes the captured images to identify space layout, objects, and user posture, then uses this pre-analyzed information to personalize exercise recommendations. This allows the system to adapt to individual users and their environments without requiring complex real-time adjustments during exercise.
Solution Approach 2:
The system introduces an intermediary processing layer that captures images through a camera, processes them through a processor to extract relevant features (space layout, objects, posture), and then uses this processed information to generate personalized exercise guidance. This intermediary processing step enables personalization while keeping the user interface simple and easy to operate.
2Measurement precision
If the system captures and analyzes user images for posture identification, then exercise guidance accuracy improves, but user privacy concerns and system complexity increase
Solution Approach 1:
The system extracts only the necessary information from captured images - specifically space layout, objects in the environment, and user posture - without storing or processing unnecessary personal data. The processor identifies and extracts these key features to provide exercise guidance, minimizing data processing complexity while maintaining accurate posture identification for personalized recommendations.
Data Source
AI summary
An electronic apparatus includes memory storing at least one instruction; and at least one processor, wherein the at least one instruction, when executed by the at least one processor, individually or collectively, causes the electronic apparatus to obtain an internal image of a space in which the electronic apparatus is located; identify a space size and an object located in the space based on the internal image; identify, based on the space size and the object, a plurality of points including a first point at which a user in exercise is to be located in the space, and a second point at which at least one device for providing feedback information to the user to be located at the first point is to be located in the space; and provide a guide image of the space and the plurality of points in the space.