2D Gesture Recognition Using Arm Motion and Elbow Depth Estimation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional user interfaces limit input modalities to traditional devices like keyboards and mice, and there is no efficient method to detect three-dimensional gestures using a two-dimensional imaging device.
Innovation Solution
A method and apparatus for gesture recognition using a 2D imaging device, which captures images of an arm in different positions, segregates hand and arm areas using skin color and motion information, generates a difference image, and processes it to estimate arm movement and gesture details, while accounting for shadows to accurately determine arm length.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a 2D imaging device is used for gesture detection, then device complexity and cost are reduced, but the ability to detect three-dimensional gestures is lost
Solution Approach 1:
The patent applies dimensionality change by processing 2D image sequences to extract 3D gesture information. Through temporal analysis of multiple 2D frames and mathematical transformations, the system recovers depth and spatial relationships, effectively converting 2D data into 3D gesture representations without requiring a 3D camera.
Solution Approach 2:
The patent replaces the mechanical/optical 3D sensing system (depth cameras, structured light) with a computational approach using 2D image processing and motion analysis. By substituting hardware complexity with algorithmic processing, the system achieves 3D gesture detection capabilities using only 2D imaging devices.
2Measurement precision
If specialized depth-aware cameras are used, then three-dimensional gesture detection accuracy is improved, but device cost and complexity increase
Solution Approach 1:
The patent creates a computational model (copy) of 3D gesture space from 2D image data. By constructing virtual 3D representations through image processing and motion tracking algorithms, the system achieves accurate 3D gesture detection without physically capturing actual 3D data, thus avoiding the need for complex depth-sensing hardware.
Solution Approach 2:
The patent changes the parameters being measured by analyzing temporal sequences of 2D images rather than direct 3D spatial parameters. By tracking motion trajectories, pixel displacement, and temporal changes in 2D projections, the system infers 3D gesture characteristics through parameter transformation rather than direct measurement.
3Ease of operation
If traditional control devices are used, then input modality limitations are maintained, but system simplicity is preserved
Solution Approach 1:
The patent makes the imaging device multi-functional by enabling it to serve both as a standard visual capture device and as a gesture recognition sensor. The same 2D camera hardware is used for both traditional imaging purposes and for detecting 3D gestures through computational analysis, thus adding input modality versatility without requiring separate specialized devices.
Data Source
AI summary
Certain aspects of an apparatus and method for gesture recognition using a two Dimensional (2D) imaging device may include capturing a first image of a hand in a first position, capturing a second image of the hand in a second position, generating an image mask for indicating the movement of the arm from the first position to the second position, determining an elbow position corresponding to the hand based on the image mask and estimating the change in depth of the hand from the first position to the second position based on the determined elbow position.