Virtual Hand Control via Camera Intermediary
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional machine interfaces are limited and fail to provide effective control mechanisms, necessitating a more advanced and intuitive method for interacting with machines.
Innovation Solution
The technology enhances machine control by utilizing virtual reality primitives and constructs, allowing for the manipulation of virtual objects through detected hand motions. This involves calculating manipulation points based on hand motion and position, enabling precise control of virtual tools and objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional machine interfaces are used, then device simplicity is maintained, but ease of operation deteriorates due to limited control mechanisms
Solution Approach 1:
The patent introduces a camera as an intermediary device that captures images of the user's hand and generates a virtual model. This virtual model acts as a mediator between the user's physical hand and the machine interface, enabling natural hand gesture recognition and control without requiring complex physical interfaces or wearables on the hand itself.
Solution Approach 2:
The system creates a virtual copy or model of the user's hand based on camera images. This virtual hand model replicates the physical hand's position, orientation, and gestures in the digital space, allowing the machine to interpret and respond to natural hand movements without direct physical interaction with complex controls.
2Productivity
If conventional mouse and keyboard interfaces are used, then device complexity remains low, but productivity deteriorates due to limited control effectiveness
Solution Approach 1:
The patent replaces traditional mechanical input devices (mouse, keyboard) with an optical-based system. The camera captures visual information about hand gestures, and image processing algorithms translate these visual inputs into control commands, substituting mechanical interaction with optical and computational processes for more effective and natural control.
Solution Approach 2:
The system changes the parameter of interaction from mechanical key presses or mouse movements to visual gesture parameters. By detecting hand position, orientation, and movement patterns through camera images, the system translates physical gesture parameters into digital control signals, enabling more expressive and productive interaction.
3Ease of operation
If hand gestures are detected using camera images, then ease of operation improves through natural interaction, but measurement precision must be enhanced to accurately determine hand positions and gestures
Solution Approach 1:
The system performs preliminary actions by capturing multiple images and preprocessing them before final gesture recognition. The virtual hand model is constructed and refined through image processing steps that enhance feature detection, ensuring accurate measurement of hand position, orientation, and gesture parameters before control commands are generated.
Solution Approach 2:
The system incorporates feedback mechanisms where the detected hand model and recognized gestures are continuously refined based on comparison with expected gesture patterns. This feedback loop enhances measurement precision by adjusting detection parameters and validating gesture recognition results against established criteria.
Data Source
AI summary
The technology disclosed relates to providing simplified manipulation of virtual objects by detected hand motions. In particular, it relates to a detecting hand motion and positions of the calculation points relative to a virtual object to be manipulated, dynamically selecting at least one manipulation point proximate to the virtual object based on the detected hand motion and positions of one or more of the calculation points, and manipulating the virtual object by interaction between the detected hand motion and positions of one or more of the calculation points and the dynamically selected manipulation point.