3D Cursor Maneuvering Device Using Hue-Encoded Reference Surface
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Solution Overview
Problem
Conventional optical mice are limited in providing three-dimensional (3D) positional and motion data, leading to difficulties in interacting with 3D displaying devices, as they only offer two-dimensional (2D) data, resulting in loss of positional accuracy and excessive CPU power consumption for matrix transformation, and inability to provide angular displacement data.
Innovation Solution
A 3D navigation system that includes a mobile navigational device and a tinted surface, which maps 2D geographical points on the surface to 3D positional addresses using hue parameters, allowing for the detection of non-linear movements and providing both translational and rotational data without excessive computational load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a conventional 2D optical mouse is used to interface with a 3D displaying device, then the device structure remains simple, but positional accuracy is lost and angular displacement data cannot be provided
Solution Approach 1:
The patent introduces a tinted reference plane with hue parameters that encode depth information, transforming the 2D mouse interaction into a 3D navigation system. The hue parameter varies with depth, allowing the 2D mouse to provide 3D positional data without adding complex hardware sensors.
Solution Approach 2:
The tinted reference plane acts as an intermediary between the 2D mouse and the 3D displaying device. It encodes depth information in the hue parameter, serving as a mediator that translates 2D mouse movements into 3D navigation data without requiring complex modifications to the mouse itself.
2Adaptability or versatility
If matrix transformation is used to convert 2D mouse data to 3D display data, then compatibility with 3D devices is achieved, but CPU power consumption increases excessively
Solution Approach 1:
The reference plane is pre-tinted with specific hue parameters that encode depth information before interaction. This preliminary encoding eliminates the need for complex real-time matrix transformations, as the depth data is already embedded in the hue parameter that the mouse sensor reads directly.
Solution Approach 2:
The patent changes the parameter space by introducing hue as an additional dimension. Instead of transforming 2D coordinates to 3D through matrix operations, the system directly reads hue parameters from the tinted reference plane, changing the data representation to avoid computationally intensive transformations.
3Loss of information
If a 2D optical mouse is used for 3D applications, then the device complexity remains low, but angular displacement data cannot be provided
Solution Approach 1:
The patent adds a hue dimension to the traditional 2D mouse interface. The tinted reference plane encodes angular and depth information in the hue parameter, allowing the 2D mouse to provide angular displacement data without adding rotational sensors or other complex hardware.
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 high-accuracy 3D motion detection and control with reduced computational requirements, providing a user-friendly, ergonomic, and immune to human body vibrations, while supporting high-resolution and sensitive 3D cursor maneuvering.
Implementation Method 1
comparing a series of images of the surface captured by the mouse ((102) is an image sensor, (103) is a light source)
Data Source
AI summary
A three-dimensional (3D) maneuvering device generates 3D data by irradiating a two-dimensional (2D) reference surface with light of variable frequency. The 3D maneuvering device has high sensitivity, high resolution, and immunity from the noise caused by human vibrations. A rotational motion vector is derived by comparing the relative motion vectors derived from a pattern recognition process of surface features on the same reference plane with the positional data derived using the color index data. Thus, a single gestural movement of the operator's hand provides both the translational and rotational motion data simultaneously.