Gesture Recognition Device Using Hand Geometry for Ergonomic Input
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Solution Overview
Problem
Traditional input devices for digital data processing systems, such as keyboards and mice, pose ergonomic issues, security challenges, and limitations in accuracy and flexibility, particularly for virtual keyboard systems that rely on fingertip detection and fixed geometry.
Innovation Solution
A gesture recognition system that uses sensors to detect and interpret hand gestures and anatomical properties, allowing for input generation without physical contact, and implements a security protocol based on user authentication through unique hand characteristics and behavioral patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional physical input devices (keyboard, mouse) are used, then input functionality is provided, but ergonomic issues arise and portability is reduced
Solution Approach 1:
The patent replaces physical mechanical input devices with a gesture recognition system that uses sensors to detect hand movements and gestures in three-dimensional space. This eliminates the need for physical keyboards and mice, improving ergonomic comfort while reducing system weight and portability constraints.
2Weight of moving object
If virtual keyboard systems are used, then portability is improved, but accuracy is reduced due to reliance on fingertip velocity detection
Solution Approach 1:
The patent transitions from two-dimensional virtual keyboard detection to three-dimensional gesture recognition. By detecting hand position, orientation, and movement in three-dimensional space, the system achieves higher accuracy while maintaining portability. The gesture recognition analyzes spatial coordinates and motion vectors across multiple dimensions rather than relying solely on fingertip velocity on a flat surface.
3Ease of operation
If traditional input devices are used, then input functionality is provided, but security vulnerabilities exist due to observable keystrokes
Solution Approach 1:
The patent replaces observable mechanical keyboard input with private gesture recognition. Hand gestures performed in three-dimensional space above the device surface cannot be easily observed by bystanders, providing natural security against shoulder surfing and keystroke observation attacks while maintaining full input functionality.
4Ease of manufacture
If fixed geometry input devices are used, then manufacturing is simplified, but adaptability is reduced for users with different hand sizes
Solution Approach 1:
The patent implements a dynamic gesture recognition system that adapts to individual users through calibration procedures. The system learns each user's hand geometry, gesture speed, and movement patterns, then adjusts recognition parameters accordingly. This allows the same simple device to accommodate users with different hand sizes and gesture styles without requiring multiple fixed-geometry devices.
Data Source
AI summary
Devices and related methods are disclosed herein that generally involve detecting and interpreting gestures made by a user to generate user input information for use by a digital data processing system. In one embodiment, a device includes first and second sensors that observe a workspace in which user gestures are performed. The device can be set to a keyboard input mode, a number pad input mode, or a mouse input mode based on the positioning of the user's hands. Subsequent gestures made by the user can be interpreted as keyboard inputs, mouse inputs, etc., using observed characteristics of the user's hands and various motion properties of the user's hands. These observed characteristics can also be used to implement a security protocol, for example by identifying authorized users by the anatomical properties of their hands or the behavioral properties exhibited by the user while gesturing.