Augmented Reality Body Measurement With Dynamic Movement Guidance
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Solution Overview
Problem
Conventional augmented reality measurement methods are inefficient, lack positioning guides, and do not facilitate easy sharing of measurement information between devices, leading to longer processing times and increased energy consumption, particularly in battery-operated devices.
Innovation Solution
The system includes a computer system with a display device and cameras that provides visual prompts and dynamic positioning guides, automatically detects body parts, and generates machine-readable codes for measurement sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional augmented reality measurement methods are used, then the system is simple to implement, but the measurement process is slow and energy-consuming
Solution Approach 1:
The system performs preliminary actions by providing visual positioning guides and prompts before the actual measurement is taken. The camera continuously monitors and guides the user to position the body part correctly in advance, so that when measurement is needed, the system can immediately capture and process the data without requiring extended manual positioning, thereby reducing overall measurement time and energy consumption.
Solution Approach 2:
The system employs automatic detection algorithms that self-adjust and self-optimize the measurement process. The camera system automatically tracks and locks onto the body part, and the processing system automatically identifies measurement points and calculates results without requiring continuous user intervention or manual adjustments, improving efficiency while reducing the energy burden of manual operations.
2Ease of operation
If conventional augmented reality measurement methods are used, then the interface is simple, but no positioning guides are provided to help users
Solution Approach 1:
The system implements real-time feedback through visual positioning guides that continuously monitor the user's body part position and provide directional guidance. The interface displays dynamic visual cues that update based on the detected position, showing users exactly how to adjust their posture or move the body part to achieve optimal measurement positioning. This feedback loop simplifies the user experience by providing clear, context-aware guidance without requiring users to understand complex measurement procedures.
Solution Approach 2:
The system introduces an intermediary visual guidance layer between the user and the measurement process. Instead of directly presenting complex technical measurement requirements, the system uses visual prompts, arrows, and overlay graphics as intermediaries to translate measurement needs into simple, intuitive user actions. This intermediary layer maintains interface simplicity while delivering comprehensive positioning assistance.
3Adaptability or versatility
If conventional measurement methods are used, then the process is straightforward, but measurement information cannot be easily shared between devices
Solution Approach 1:
The system implements universal measurement data sharing capabilities that allow measurement information to be exchanged across different device types and platforms. By adopting standardized data formats and protocols, the system enables measurements taken on one device to be seamlessly shared, viewed, and processed on other devices, whether mobile phones, tablets, or computers, without requiring device-specific customization or complex integration procedures.
4Loss of time
If conventional augmented reality measurement methods are used, then the system requires minimal components, but the measurement process takes longer than necessary
Solution Approach 1:
The system maintains continuous useful action during the measurement process by having the camera continuously capture images or video frames and the processing system continuously analyze positioning data. Rather than stopping to manually adjust settings or wait for manual input, the system continuously performs detection, tracking, and measurement calculations in the background, ready to immediately output results when the body part is properly positioned, thereby minimizing idle time and maximizing measurement throughput.
Data Source
AI summary
A computer system displays, in a user interface, a first representation of a body part that is in a field of view of the one or more cameras. The computer system detects, using the one or more cameras, movement of the body part. The displayed first representation of the body part is updated in accordance with the movement of the body part. The computer system, while displaying the first representation of the body part, displays an indicator at a fixed location relative to the first representation of the body part. The indicator is displayed at a first position in the user interface that overlays at least a portion of the representation of the body part, the indicator is updated in accordance with the movement of the body part, and the indicator includes an indication of a suggested direction of movement of the body part.