Virtual Desktop Coordinate Transformation via Depth Tracking
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Solution Overview
Problem
Users are frustrated with traditional input devices like mice, trackballs, and trackpads for interacting with computing systems, as they require specific controls or markers, limiting natural gesture-based control of virtual desktops.
Innovation Solution
A computing system equipped with a depth image analysis module to track a user's pose in a world-space coordinate system, establishing a virtual interaction zone and transforming hand movements into interface-space coordinates to control virtual desktop elements without the need for specific devices or markers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional input devices like mice, trackballs, and trackpads are used, then precise control of virtual desktop elements is achieved, but user comfort and natural interaction are reduced
Solution Approach 1:
The patent replaces mechanical input devices (mice, trackballs, trackpads) with a depth camera-based gesture recognition system. The depth camera captures hand movements and translates them into cursor control signals, eliminating the need for physical input devices while maintaining control functionality. This substitution improves user comfort by allowing natural hand gestures while preserving precision through coordinate transformation algorithms.
2Adaptability or versatility
If depth image analysis is used to track user pose, then natural gesture control is enabled, but system complexity increases
Solution Approach 1:
The patent introduces a depth camera as an intermediary device between the user and the computer system. The depth camera captures three-dimensional hand gesture data and passes it to software modules that process the gestures into meaningful commands. This intermediary approach enables natural gesture control while managing system complexity by separating the sensing function (depth camera) from the processing function (software algorithms).
Solution Approach 2:
The patent creates a virtual copy of the user's hand movements in the digital realm through depth image analysis. The depth camera captures the physical hand gestures and generates corresponding virtual representations that are then processed and mapped to interface controls. This copying mechanism allows natural interaction without requiring complex direct manipulation of physical devices.
3Ease of operation
If a virtual interaction zone is established that tracks the user, then intuitive interaction is improved, but computational requirements increase
Solution Approach 1:
The patent implements a virtual interaction zone that selectively tracks specific hand gestures and movements rather than continuously processing all possible motions. The system identifies and processes only the relevant gestures that correspond to meaningful commands, reducing unnecessary computational processing while maintaining intuitive interaction for supported gestures.
Data Source
AI summary
A computing system includes a depth image analysis module to track a world-space pose of a human in a fixed, world-space coordinate system. The computing system further includes an interaction module to establish a virtual interaction zone with an interface-space coordinate system that tracks the human. The computing system also includes a transformation module to transform a position defined in the fixed, world-space coordinate system to a position defined in the interface-space coordinate system.