Wearable Camera Mode Switching for Body and External Device Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing electronic devices struggle to effectively track both user body portions and external electronic devices simultaneously, limiting the versatility and user experience in extended reality applications.
Innovation Solution
A wearable device equipped with a camera and processor that captures images with different attributes for tracking body portions and external electronic devices, processes these images to determine feature values, and switches modes based on these values to adjust image capture accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the camera captures images with different attributes for tracking body portions and external electronic devices simultaneously, then the tracking capability for both targets is improved, but the device complexity increases
Solution Approach 1:
The camera dynamically switches between first mode and second mode based on detected feature values. When the external electronic device is detected within a threshold distance, the camera switches to second mode to capture images with attributes optimized for tracking the external device. Otherwise, it operates in first mode for tracking body portions. This dynamic mode switching allows the system to optimize tracking capability for different targets without requiring permanently configured complex hardware for both scenarios simultaneously.
Solution Approach 2:
The camera changes operational parameters (attributes) based on the detected target. In first mode, the camera captures images with attributes suitable for body portion tracking. When the external electronic device is detected, the camera switches to second mode with different attributes optimized for tracking the external device. This parameter change approach allows the same hardware to adapt to different tracking requirements without increasing physical complexity.
2Adaptability or versatility
If the camera switches modes based on feature values, then the adaptability to different tracking scenarios is improved, but the processing time increases
Solution Approach 1:
The system continuously detects feature values from captured images to determine whether the external electronic device is within the threshold distance. This preliminary detection is performed on previously captured images before switching modes, allowing the system to anticipate the need for mode switching and reduce the overall processing time. By analyzing feature values in advance, the system can prepare for mode transitions more efficiently.
Solution Approach 2:
The system uses feedback from detected feature values to control mode switching. The processor analyzes feature values from captured images and provides feedback to determine whether to switch between first mode and second mode. This feedback mechanism ensures that mode switching occurs only when necessary (when the external electronic device is detected within threshold distance), optimizing the balance between adaptability and processing time by avoiding unnecessary mode transitions.
3Measurement precision
If the number of images with first attribute differs from the number of images with second attribute, then the tracking precision for each target is improved, but the energy consumption increases
Solution Approach 1:
The system captures a greater number of images with attributes optimized for tracking the currently detected target, rather than maintaining an equal number of images for both tracking scenarios. When the external electronic device is detected, the camera captures more images in second mode to ensure sufficient data for precise tracking of the external device. This partial or excessive action approach ensures high tracking precision for the active target while avoiding the energy cost of continuously capturing equal numbers of images for both targets regardless of current needs.
Data Source
AI summary
A wearable device includes memory storing instructions, a camera, and at least one processor. The instructions, when executed by the at least one processor individually or collectively, causes the wearable device to obtain at least one first image having a first attribute for tracking of body portion of a user and at least one second image having a second attribute different from the first attribute for tracking of an external electronic device, to obtain first feature values for tracking of the body portion from the at least one first image and second feature values for tracking of the external electronic device from the at least one second image, to change a mode of the wearable device from the first mode to a second mode based on the first feature values and the second feature values, and to obtain, in the second mode, another images.