Gesture Authentication Trajectory Analysis
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Solution Overview
Problem
Traditional authentication methods using usernames and passwords are easily hackable, and biometric methods can be compromised by duplication or forgery, necessitating a secure and user-friendly alternative.
Innovation Solution
A system and method that analyzes the uniqueness of hand gestures using a trajectory-capturing device, such as a touchpad or camera, to identify users by converting the gesture into a key-code through a multidimensional analysis, comparing it to a classified set of sample points, and determining authentication based on probability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional authentication methods (username and password) are used, then ease of operation is improved, but security is worsened
Solution Approach 1:
The patent changes the authentication parameter from static credentials (username/password) to dynamic biometric data (retinal patterns, iris characteristics). This transformation maintains ease of operation while dramatically improving security, as biometric parameters are inherently difficult to replicate or steal compared to traditional passwords.
2Reliability
If biometric sensors are used for authentication, then security is improved, but vulnerability to forgery is worsened
Solution Approach 1:
The patent moves from two-dimensional fingerprint scanning to multi-dimensional retinal and iris imaging. By capturing authentication data in multiple dimensions (depth, color, pattern complexity), the system creates a far more difficult target for forgery attempts, as replicating multi-dimensional biometric data is significantly harder than duplicating a fingerprint.
3Ease of operation
If gesture authentication with fluctuation allowance is implemented, then user friendliness is improved, but authentication reliability is worsened
Solution Approach 1:
The patent applies dynamics by allowing the gesture trajectory to fluctuate within acceptable bounds while maintaining authentication reliability. The system dynamically adjusts to natural variations in user movement, recognizing that perfect repetition is neither realistic nor necessary for secure authentication, thus balancing user friendliness with reliability.
Data Source
AI summary
The present document describes a method for authenticating a user into a system using gestures. The user may draw the gesture on a touch sensitive device (e.g. touchpad), or make the gesture in the air in front of a camera. In the touchpad embodiment, the trajectory defined by the gesture is received ready from the touchpad. In the camera embodiment, the trajectory is built by analyzing the images of an image stream to find a hand (or another subject i.e. meta-subject). The trajectory may then be built by monitoring the change of position of the hand in the succession of images. The trajectory is analyzed to determine the key-code defined by the gesture, and to determine whether or not it is the authenticated user who is performing the gesture (as opposed to an intruder) based on the speed and the distance between the trajectory and a straight line.