3D Gesture Recognition via Electrical Near-Field Deformation
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Solution Overview
Problem
Existing methods for contactless detection and recognition of gestures in three-dimensional movement spaces are either expensive, computation-intensive, and limited to stationary use, or they require physical contact and are restricted to two-dimensional movements, making them unsuitable for mobile applications.
Innovation Solution
A system and method that utilize electrical near-field deformations to detect and recognize gestures in a three-dimensional space by generating movement paths based on object properties and deformations, allowing for precise and efficient recognition of gestures without the need for image-taking devices, suitable for mobile use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If optical methods with image-taking devices are used for contactless gesture detection, then gesture recognition capability is achieved, but device complexity and cost increase significantly
Solution Approach 1:
The patent replaces optical measurement systems (cameras, image processing) with an electrical field-based sensing system. The sensor system detects gestures by measuring changes in electrical field characteristics caused by the movement of objects within the field, eliminating the need for complex image-taking devices while maintaining gesture recognition capability
Solution Approach 2:
The patent introduces an electrical field as an intermediary between the user and the sensor system. The electrical field acts as a mediator that translates physical gestures into detectable electrical signals, allowing contactless gesture detection without direct mechanical or optical contact
2Adaptability or versatility
If image processing systems are used for gesture detection, then gesture recognition is possible, but computation intensity increases
Solution Approach 1:
The patent substitutes computation-intensive image processing with simpler electrical field signal processing. Instead of analyzing visual data from cameras, the system processes electrical field measurements that directly correlate with gesture movements, significantly reducing computational requirements while maintaining recognition accuracy
3Ease of operation
If touch-sensitive systems are used for gesture detection, then mobile use is enabled, but movement dimension is limited to two dimensions
Solution Approach 1:
The patent extends gesture detection from two dimensions (touch-sensitive display surface) to three dimensions by utilizing the electrical field's spatial characteristics. The system can detect movements in the Z-direction (perpendicular to the display surface) in addition to X and Y movements, enabling full 3D gesture recognition while maintaining mobile device compatibility
4Adaptability or versatility
If contactless optical systems are used for gesture detection, then three-dimensional gesture detection is possible, but stationary operation is required
Solution Approach 1:
The patent replaces bulky optical systems with compact electrical field sensors that can be integrated into mobile devices. The electrical field generation and detection components are sufficiently small to be incorporated into portable electronics while maintaining 3D gesture detection capability
Solution Approach 2:
The sensor system serves multiple functions: it can detect gestures in three dimensions, work in mobile environments, and potentially serve other sensing purposes. This multi-functionality makes the system adaptable to various applications without requiring specialized hardware for each function
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 precise and fast recognition of gestures in three-dimensional spaces, improving accuracy and speed, and is suitable for mobile devices by using electrical near-field deformations to generate movement paths and extract gestures without the need for additional recognition systems.
Implementation Method 1
in a electrical near-field, which defines the three-dimensional movement space, deformations of the electric near-field are recognized, which can be effected by movements of at least one object in the three-dimensional movement space
Data Source
AI summary
The invention relates to a method for the contactless detection and recognition of gestures in a three-dimensional movement space (3D gestures), whereinin an electrical near-field which defines the three-dimensional movement space, deformations of the electrical near-field are detected which can be performed by movements of at least one object, e.g. one or two fingers in the three-dimensional movement space,at least one movement path is generated from the detected deformations of the electrical near field, which corresponds to the movement of the at least one object in the three-dimensional movement space, andwherein during the generation of the movement path in the movement path a gesture start is determined, wherein beginning with the gesture start the gesture is extracted from the movement path.The invention also relates to a system for the contactless detection and recognition of gestures in a three-dimensional movement space.