Multi-Camera Display for Home Training User Identification
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Solution Overview
Problem
Existing home training services struggle to provide personalized coaching and content selection based on the number and location of users, leading to inefficient and less engaging workout experiences.
Innovation Solution
A display device equipped with multiple cameras of different angles of view, where a processor identifies a training target object within an initial wide-angle view and switches to a narrower angle of view for more focused coaching, allowing for personalized content selection and improved user engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a single wide-angle camera is used for home training service, then the field of view covers the entire exercise space, but the coaching precision and user identification accuracy deteriorate
Solution Approach 1:
The patent divides the single camera system into multiple cameras with different angle of view characteristics. A wide-angle camera captures the entire exercise space for comprehensive monitoring, while a narrow-angle camera focuses on specific user regions for precise identification and coaching, resolving the contradiction between coverage area and identification accuracy
Solution Approach 2:
The patent applies different camera types to different spatial regions: the wide-angle camera covers the overall exercise environment, while the narrow-angle camera provides high-precision monitoring of specific user areas. This local differentiation optimizes both comprehensive coverage and focused measurement precision simultaneously
2Measurement precision
If multiple cameras with different angles of view are used, then the coaching precision and user identification accuracy improve, but the device complexity increases
Solution Approach 1:
The patent designs a camera system where multiple cameras with different angle of view characteristics work together to provide both comprehensive spatial coverage and precise user identification. The system integrates these cameras under unified control, allowing the same hardware infrastructure to serve multiple functions: wide-area monitoring, precise user detection, and contextual coaching
Solution Approach 2:
The patent combines multiple cameras with different angle of view characteristics into a single integrated home training system. The processor coordinates both cameras, merging their data streams to achieve both comprehensive coverage and precise identification, thereby managing complexity through unified system architecture
3Measurement precision
If the camera angle of view is narrowed for focused coaching, then the coaching quality improves, but the coverage of exercise space decreases
Solution Approach 1:
The patent segments the monitoring function into two parallel camera systems: one wide-angle camera maintains comprehensive exercise space coverage, while another narrow-angle camera provides focused coaching on specific user regions. Both functions operate simultaneously without compromising either coverage or precision
Solution Approach 2:
The patent adds the dimension of temporal coordination between multiple cameras. The wide-angle and narrow-angle cameras capture data simultaneously from different spatial perspectives, allowing the system to maintain both comprehensive coverage and focused precision through multi-dimensional data integration
Data Source
AI summary
An example display device includes a display and a processor configured to execute at least one instruction. The processor is configured to control a first camera set at a first angle of view to be activated in response to a request to run an application for providing a home training service, obtain a first image through the activated first camera, control a second camera set at a second angle of view different from the first angle of view to be activated in response to at least one of at least one object included in the first image being identified as a training target object, and provide the home training service based on at least one image obtained through the second camera.