Wearable Position Correction via Limb Skeleton Detection
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Solution Overview
Problem
Users of virtual reality, augmented reality, or mixed reality devices face challenges in correctly wearing wearable devices, leading to incorrect recognition and operation of head-mounted display devices when the wearable devices are not positioned correctly.
Innovation Solution
A device position correction method and system that uses an object detector and limb detection model within a head-mounted display device to capture images of wearable devices, detect skeleton points, and generate correction information to guide users in correctly positioning the wearable devices through audio or image prompts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the user wears the wearable device without guidance, then the device can be worn quickly, but the wearing position may be incorrect leading to incorrect recognition
Solution Approach 1:
The system captures images of the wearable device, detects its position using object detection and skeleton point analysis, compares the detected position with the correct position, and provides visual feedback by displaying reference images showing the correct wearing position. This closed-loop feedback mechanism guides users to wear the device correctly without requiring complex manual calibration procedures.
Solution Approach 2:
The system uses an intermediary image processing and analysis module that acts as a mediator between the wearable device and the head-mounted display device. This intermediary captures images, detects skeleton points, determines wearing position, and translates this information into user-friendly visual guidance, simplifying the overall system complexity while maintaining high accuracy.
2Measurement precision
If the system uses image processing and skeleton detection to verify wearing position, then the position accuracy is improved, but the processing time and computational load increase
Solution Approach 1:
The system performs preliminary actions by pre-defining correct wearing positions and preparing reference images in advance. When a user needs calibration, the system immediately compares the captured image with pre-established criteria and displays the appropriate reference image, eliminating the need for time-consuming real-time complex calculations or iterative adjustments.
Solution Approach 2:
The system uses image copying and comparison techniques where reference images of correctly worn devices are stored and compared against captured images. This allows for rapid visual matching and verification of wearing position without requiring complex real-time analysis, significantly reducing processing time while maintaining high detection accuracy.
3Ease of operation
If the system provides detailed correction guidance, then the ease of operation is improved, but the information processing requirements increase
Solution Approach 1:
The system uses lightweight, temporary image displays as guidance rather than implementing complex haptic feedback mechanisms or additional hardware components. The visual guidance through displayed reference images provides sufficient correction information to users while consuming minimal processor energy, as it relies on simple image rendering rather than complex real-time computations or multiple actuation systems.
Data Source
AI summary
A device position correction method applicable to a wearable device is provided. The device position correction method includes the following steps. A wearable device image is received. An object detector detects the wearable device position, which is the position in the wearable device image. A limb detection model detects a plurality of skeleton points and a limb position, which is the position of a limb in the wearable device image, in order to determine which body part corresponds to the limb. According to the skeleton points and the limb position, correction information related to the wearable device position is generated.