Biometric Gesture Tracking for Real-Time User Authorization
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Solution Overview
Problem
Conventional motion capture systems are expensive, cumbersome, and struggle with real-time data analysis and user discrimination, especially when multiple subjects are present, limiting their deployment and effectiveness.
Innovation Solution
Implementing optical, acoustic, or vibrational sensors to capture and process biometric features of a user's hand gestures, enabling real-time motion tracking and authorization of commands through biometric authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional motion capture systems use markers or sensors worn by subjects, then motion tracking can be achieved, but the system becomes cumbersome and interferes with natural movement
Solution Approach 1:
The patent removes markers and sensors from the subject's body and extracts only the necessary biometric data (hand geometry, vein patterns, palm prints) that can be captured remotely by optical sensors. This extraction eliminates the cumbersome equipment while preserving motion tracking capability through biometric feature analysis of hand images.
Solution Approach 2:
The patent replaces the mechanical sensor-based system with an optical field-based system. Instead of physical sensors contacting the subject, the system uses optical sensors to capture images and extract biometric features, substituting mechanical measurement with optical detection and computational analysis.
2Reliability
If conventional motion capture systems place numerous bulky equipment strategically, then motion capture can be achieved, but the system becomes expensive and complex to construct
Solution Approach 1:
The patent makes the optical sensor system multi-functional by enabling it to perform both motion tracking and biometric authentication simultaneously. The same optical sensor that captures hand motion for gesture recognition also captures biometric features (vein patterns, palm prints, finger geometry) for user identification, eliminating the need for separate authentication hardware.
Solution Approach 2:
The patent creates digital copies of biometric features (vein patterns, palm prints, hand geometry) from optical images to establish user profiles. These digital biometric templates are then used for authentication without requiring physical contact or specialized scanning equipment, simplifying the system while maintaining security.
3Productivity
If conventional motion capture systems use large numbers of cameras, then real-time data capture is achieved, but real-time analysis becomes difficult due to data volume
Solution Approach 1:
The patent extracts only the essential biometric features (hand geometry, vein patterns, palm prints, fingerprint locations) from the captured images, discarding the vast amount of redundant pixel data. This selective extraction reduces the data processing burden while maintaining the ability to perform real-time gesture recognition and user authentication.
4Measurement precision
If conventional motion capture systems are tailored to track one user's motions, then accurate tracking is achieved, but the system fails to discriminate between multiple subjects
Solution Approach 1:
The patent applies local quality by capturing and analyzing distinctive biometric features specific to each user's hand (vein patterns, palm prints, finger geometry, scar locations). These localized unique features enable the system to distinguish between multiple users while maintaining accurate motion tracking for each individual, as each user's hand biometrics serve as a unique identifier.
Data Source
AI summary
The technology disclosed can provide methods and systems for identifying users while capturing motion and/or determining the path of a portion of the user with one or more optical, acoustic or vibrational sensors. Implementations can enable use of security aware devices, e.g., automated teller machines (ATMs), cash registers and banking machines, other secure vending or service machines, security screening apparatus, secure terminals, airplanes, automobiles and so forth that comprise sensors and processors employing optical, audio or vibrational detection mechanisms suitable for providing gesture detection, personal identification, user recognition, authorization of control inputs, and other machine control and/or machine communications applications. A virtual experience can be provided to the user in some implementations by the addition of haptic, audio and/or other sensory information projectors.