Smart Eyewear Hand Tracking for Real-Time AR Game Control
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Solution Overview
Problem
Existing augmented reality systems struggle with accurately tracking hand gestures and integrating virtual objects in real-time, particularly in interactive games, due to the complexity and processing intensity of hand and finger recognition.
Innovation Solution
The system employs advanced computer vision algorithms and hand tracking utilities within wearable electronic devices like eyewear, using stereo cameras and image processors to capture and process hand gestures, enabling real-time detection and interaction with virtual objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If advanced computer vision algorithms and hand tracking utilities are used to accurately track hand gestures, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The hand tracking system is divided into multiple independent components: stereo cameras for depth capture, image processors for frame processing, hand tracking utilities for gesture recognition, and computer vision algorithms for analysis. Each component handles a specific aspect of the tracking pipeline, allowing the system to achieve high measurement precision while managing complexity through modular architecture.
2Speed
If real-time processing of hand gestures is implemented, then speed is improved, but use of energy increases
Solution Approach 1:
The system processes hand gestures in discrete time frames using periodic capture cycles. The stereo cameras capture depth information at regular intervals, and the image processors analyze each frame independently. This periodic processing approach enables real-time responsiveness while allowing the system to enter lower-power states between processing cycles, managing energy consumption effectively.
3Measurement precision
If stereo cameras and image processors are used to capture and process hand gestures, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple sensing modalities (stereo camera depth information, image processor analytics) into a unified hand tracking system. By merging these components and integrating their data streams through coordinated processing, the system achieves superior measurement precision for hand and finger recognition while presenting a unified interface that manages the underlying hardware complexity.
Data Source
AI summary
Example systems, devices, media, and methods are described for presenting an interactive game in augmented reality on the display of a smart eyewear device. A hand tracking utility detects and tracks the location of hand gestures in real time, based on high-definition video data. The detected hand gestures are compared to a library of hand gestures and landmarks. Examples include synchronized, multi-player games in which each device detects and shares hand gestures with other devices for evaluation and scoring. A single-player example includes gesture-shaped icons presented on a virtual scroll that appears to move toward an apparent collision with corresponding key images, awarding points if the player's hand is located near the apparent collision and the detected hand shape matches the moving icon.