Virtual Skeleton Gesture Control for 3D Worlds
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Solution Overview
Problem
Current technologies face challenges in accurately interpreting human movements within images without the use of reflective tags or markers, limiting the ability of computers to control three-dimensional virtual worlds based on human gestures.
Innovation Solution
A virtual skeleton is created using a depth camera to model human movements, allowing for the translation of gestures into machine-readable controls that can interact with a three-dimensional virtual world, eliminating the need for conventional input devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If reflective tags or markers are used to track human movements, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts and removes the reflective tags or markers from the tracking system, achieving accurate human movement tracking without requiring these additional components. The depth camera directly captures movement data from the human body, eliminating the need for external markers while maintaining measurement precision.
Solution Approach 2:
The human body serves itself as the tracking target without requiring external markers. The depth camera captures the natural shape and movement of the human body directly, allowing the body to provide its own tracking information through its inherent geometric features rather than requiring attached reflective elements.
2Adaptability or versatility
If conventional input devices are used to control virtual worlds, then ease of operation is maintained, but adaptability decreases
Solution Approach 1:
The patent replaces conventional mechanical input devices (keyboards, mice, controllers) with a gesture-based control system. The depth camera captures human gestures and translates them into control commands for the virtual world, substituting physical mechanical interfaces with optical sensing and computational interpretation of natural human movements.
Solution Approach 2:
The system changes the control parameters from fixed device inputs to dynamic gesture parameters. By monitoring the position, orientation, and movement of body parts over time, the system translates continuous gesture data into discrete control commands, allowing flexible adaptation to different interaction scenarios while maintaining ease of use through natural movements.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables users to control three-dimensional virtual environments with natural gestures, enhancing user interaction and immersion by interpreting human movements as intuitive controls within gaming and other applications.
Implementation Method 1
a depth camera captures images of the player within an observed scene
Data Source
AI summary
A virtual skeleton includes a plurality of joints and provides a machine readable representation of a human target observed with a three-dimensional depth camera. A relative position of a hand joint of the virtual skeleton is translated as a gestured control, and a three-dimensional virtual world is controlled responsive to the gestured control.