Wearable AR Gesture Recognition System
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Solution Overview
Problem
Current gesture recognition systems in augmented reality (AR) struggle to provide seamless and intuitive user interactions, particularly when using wearable devices, as they often require complex setups and lack efficient methods for object recognition and context-aware commands.
Innovation Solution
The implementation of an AR system that combines a camera module, object recognition module, gesture recognition module, and image rendering module within a wearable device, allowing users to perform gestures and voice commands to interact with their environment by recognizing objects and gestures in real-time, and modifying the image data accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If gesture recognition systems use complex setups for accurate object and gesture recognition, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent combines object recognition and gesture recognition modules into a single integrated AR system. The camera module captures both objects and gestures simultaneously, and the system processes both types of recognition together, eliminating the need for separate complex recognition systems while maintaining high accuracy for both functions.
Solution Approach 2:
The AR device is designed to perform multiple functions including object recognition, gesture recognition, image rendering, and context-aware command execution. This multi-functional approach allows a single device to handle diverse recognition tasks without requiring separate specialized systems, thereby reducing overall device complexity while maintaining measurement precision.
2Productivity
If AR systems process and output real-time augmented image data, then productivity is improved, but use of energy increases
Solution Approach 1:
The AR system divides image processing into distinct segments: the camera module captures raw image data, the object recognition module identifies objects, the gesture recognition module detects gestures, and the image rendering module generates augmented output. This segmentation allows each module to process only its specific portion of the data efficiently, reducing overall energy consumption while maintaining real-time processing productivity.
Solution Approach 2:
The system processes only the necessary portions of image data required for object and gesture recognition rather than analyzing entire frames in detail. By applying partial processing to relevant regions identified by the recognition modules, the system achieves real-time productivity while minimizing energy consumption on less critical processing tasks.
Data Source
AI summary
Generally discussed herein are systems and apparatuses for gesture-based augmented reality. Also discussed herein are methods of using the systems and apparatuses. According to an example a method may include detecting, in image data, an object and a gesture, in response to detecting the object in the image data, providing data indicative of the detected object, in response to detecting the gesture in the image data, providing data indicative of the detected gesture, and modifying the image data using the data indicative of the detected object and the data indicative of the detected gesture.