EEG Wearable Neural Gate Interface for Transit Access
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Solution Overview
Problem
Public and private transportation systems face congestion and delays due to increased ridership, with existing devices and approaches being insufficient to alleviate these issues, particularly affecting transit users with physical impairments who struggle with manual interaction at transit gates.
Innovation Solution
A wearable electronic device equipped with EEG sensors that detects brain activity in response to visual and auditory stimuli near transit gates, allowing users to access the transit system hands-free by transmitting wireless signals to open the gate, enabling independent and efficient entry without physical barriers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual interaction at transit gates is required, then gate access control is maintained, but accessibility for individuals with physical impairments deteriorates
Solution Approach 1:
The patent replaces the mechanical manual interaction system (physical contact with gate readers) with an EEG-based neural interface system. The wearable device detects brain waves through electrical signals, eliminating the need for physical contact while maintaining access control functionality.
Solution Approach 2:
The patent introduces an intermediary system consisting of the wearable EEG device and wireless transmitter that mediates between the user and the gate access control system. This intermediary converts neural signals into wireless communication signals, enabling contactless interaction.
2Productivity
If traditional gate access methods are used, then access control is maintained, but time spent at transit gates increases
Solution Approach 1:
The patent performs preliminary authentication actions before the user reaches the gate. The EEG-based identification and verification occur in advance, allowing the gate system to be pre-prepared for immediate opening, thus reducing the time the user spends waiting at the gate.
Solution Approach 2:
The patent replaces slow mechanical interaction processes (manual card scanning, ticket checking) with rapid neural signal detection and wireless communication, significantly reducing the time required for gate access.
3Productivity
If manual gate interaction is required, then gate security is maintained, but congestion and delays increase
Solution Approach 1:
The patent enables self-service gate access where the system automatically detects the user's intent to access the gate through EEG signals and autonomously triggers the gate opening mechanism without requiring manual intervention from either the user or gate operators.
Solution Approach 2:
The patent substitutes manual mechanical gate interaction with automated neural signal-based triggering, allowing multiple users to access the system simultaneously without physical congestion at the gate.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution reduces time spent at transit gates, enhances accessibility for individuals with impairments, and optimizes resource allocation by automating the entry process, thereby reducing congestion and improving overall transit system efficiency.
Implementation Method 1
an electroencephalography (EEG) sensor configured to detect EEG signals corresponding to a transit user
Data Source
AI summary
A wearable electronic device comprising an electroencephalography (EEG) sensor for enabling access to a transit system. The device may also include a device transmitter configured to wirelessly transmit request signals to a transit gate. The device may further include a device processor configured to receive a first EEG signal from the EEG sensor and analyze the first EEG signal to determine that the transit user is attempting to enter the transit system through a particular transit gate. The device processor may also receive a second EEG signal and analyze the second EEG signal to determine that the transit user is currently passing through the particular gate. The first EEG signal may be based on the transit user viewing a visual stimulus displayed by the transit gate, and the second EEG signal may be based on the transit user hearing an auditory stimulus outputted by the transit gate.