Voice-Based Authentication Using Emotional State Analysis
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Solution Overview
Problem
Conventional user authentication methods, such as PINs and passwords, are prone to forgetfulness, guessability, and security vulnerabilities, while fingerprint sensors can malfunction due to environmental conditions, and there is a need for a method that considers the user's emotional state for access control in safety-critical situations.
Innovation Solution
A behavior-based authentication system using mobile, portable communication devices equipped with sensors to record intrinsic user behavior, emotional state, and physiological data, which classifies the user's emotional state and compares it to permitted states for authentication, allowing access without traditional authentication methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods (PIN, password) are used, then user authentication can be performed, but security is compromised due to forgetfulness, guessability, and vulnerability to spying
Solution Approach 1:
The patent replaces traditional mechanical authentication systems (PIN entry, password typing) with a voice-based authentication system. The classification module analyzes voice characteristics and emotional state parameters to authenticate users, eliminating the need for users to remember or physically input authentication credentials. This substitution maintains high security through multi-parameter analysis while significantly improving ease of operation.
Solution Approach 2:
The system transitions from static authentication parameters (fixed PINs or passwords) to dynamic parameters including voice characteristics, emotional state, and behavioral patterns. The classification module continuously evaluates these changing parameters to authenticate users, making the system both more secure against static credential theft and more convenient for users.
2Reliability
If fingerprint sensors are used for authentication, then physical authentication is provided, but the system malfunctions in various environmental conditions (dirty/moist fingers, gloves, wrong hand placement)
Solution Approach 1:
The patent replaces contact-based fingerprint sensors with a voice-based authentication system that uses acoustic fields instead of physical contact. The classification module processes voice signals and emotional state parameters without requiring physical interaction, eliminating all environmental issues associated with fingerprint sensors including dirty fingers, moisture, gloves, and improper placement.
Solution Approach 2:
The system changes from optical/physical fingerprint detection to acoustic and physiological parameter detection. By analyzing voice characteristics, emotional state, and behavioral patterns, the system achieves authentication that is unaffected by environmental conditions, significantly improving both reliability and adaptability across different situations.
3Ease of operation
If access control is implemented without considering emotional state, then authentication is simplified, but safety-critical access may be granted to users in inappropriate emotional states
Solution Approach 1:
The patent merges authentication verification with emotional state assessment into a single integrated process. The classification module simultaneously evaluates voice characteristics for authentication and analyzes emotional state parameters, combining both functions into one unified system that maintains simplicity while eliminating safety risks.
Solution Approach 2:
The system incorporates real-time feedback from emotional state analysis into the authentication decision-making process. The classification module continuously monitors emotional parameters and uses this feedback to determine whether to grant or deny access, preventing unsafe access while maintaining a simple user experience.
Data Source
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AI summary
Method for authenticating a user (1) of a first communication system (100), wherein the first communication system (100) comprises a mobile, portable communication system which has a plurality of sensors (110) for capturing data (500), a classification module (200) and a processor (130), wherein one of the sensors (110) comprises a microphone for capturing voice-based data (500) of the user (1), wherein the captured data (500) further comprises voice-dependent behavior-based data of the user (1), wherein the classification module (200) is configured for classifying the data (500), wherein the classification comprises assigning the captured data (500) to an identity of a registered user, and further comprising assigning the captured data (500) to an emotional state from a plurality of emotional states.wherein the procedure comprises: generating a first intermediate result and a second intermediate result from the data (500) by the classification module (200), generating a classification result (600) using the first intermediate result and the second intermediate result, and authenticating the user (1) using the classification result (600).