Multi-person Gesture Authentication System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current motion-sensing systems lack gesture-based authentication and authorization capabilities, which are essential for secure access control, especially in scenarios requiring multiple users to perform specific gestures simultaneously or sequentially.
Innovation Solution
The system integrates conventional gesture-sensing technologies like Microsoft's Kinect to obtain and analyze sensor information from multiple users, including image and proximity data, to authenticate and authorize access by comparing performed gestures with pre-stored sequences, incorporating additional authentication methods like password, voice recognition, and biometrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If gesture-based authentication is implemented using motion-sensing systems, then security and authorization control are improved, but the system complexity increases due to the need to coordinate multiple users and gesture sequences
Solution Approach 1:
The patent segments the authentication process into distinct components: individual gesture recognition for each user, sequence validation against predetermined patterns, and multi-user coordination logic. This modular approach manages system complexity by breaking down the complex authorization task into manageable segments that can be processed independently and then integrated.
Solution Approach 2:
The system performs preliminary actions by pre-defining and storing valid gesture sequences and patterns before authentication occurs. These predetermined gestures serve as reference templates that simplify the real-time authentication process, allowing the system to compare actual user gestures against pre-established criteria rather than evaluating all possible gesture combinations during authentication.
2Reliability
If multiple authentication methods (password, voice recognition, biometrics) are combined with gesture recognition, then authentication reliability is improved, but the ease of operation deteriorates due to the increased number of steps required
Solution Approach 1:
The patent merges multiple authentication methods (password, voice recognition, biometrics) with gesture recognition into a unified multi-factor authentication system. This combination strengthens authentication reliability by requiring users to satisfy multiple verification criteria simultaneously, creating a more robust security framework that leverages the strengths of each individual method.
Solution Approach 2:
The system implements multi-functionality by accepting various types of authentication inputs (text passwords, voice commands, biometric data, and gestures) through a single unified authentication framework. This universal approach allows the system to handle diverse authentication methods through common processing logic, managing operational complexity while maintaining flexibility.
3Reliability
If the system requires precise matching of gesture sequences and locations, then authorization security is improved, but measurement precision requirements increase the system complexity
Solution Approach 1:
The patent applies parameter changes by allowing flexibility in gesture matching criteria such as tolerance ranges for gesture positions, duration thresholds, and sequence timing variations. By adjusting these parameters, the system can balance security requirements against practical usability considerations, ensuring that precise matching enhances security without requiring impossible measurement accuracy.
Data Source
AI summary
A system of authorizing access to a resource including a processor obtaining sensor information related to at least two users from one or more sensors, the sensor information including one or more of image information and proximity information of each of the at least two users. Further, an act of identifying current gestures is performed for each of the at least two users in accordance with the sensor information. The current gestures may be compared with pre-stored gesture information related to predetermined gestures and an order of the predetermined gestures. Further, access to the resource may be authorized when it is determined that the current gestures are in accordance with the predetermined gestures and the order of the predetermined gestures.