Brain Wave Item Selection in Mobility Using SSVEP Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current vehicle systems lack the ability to efficiently select and order items from drive-through services while in motion, requiring passengers to manually navigate to the service point and order items, which is inconvenient and inefficient.
Innovation Solution
A brain-computer interface system that uses steady-state visually evoked potentials (SSVEPs) to allow passengers to select and order items by analyzing their brain wave signals, displaying information on a predetermined area within the vehicle and transmitting the selection to the service point for processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual navigation to service point is required for ordering, then ordering function can be provided, but convenience and efficiency deteriorate
Solution Approach 1:
The patent replaces manual mechanical operations (steering, button pressing, touchscreen interaction) with brain-computer interface technology. SSVEP-based brain wave detection allows passengers to select menu items and place orders through visual attention alone, eliminating the need for manual navigation or physical interaction with ordering interfaces.
Solution Approach 2:
The system enables self-service ordering through automated brain wave analysis. The controller automatically detects SSVEP signals, identifies selected menu items based on visual fixation patterns, and transmits orders without requiring passenger intervention or driver attention, making the ordering process autonomous and convenient.
2Productivity
If brain wave analysis is implemented for item selection, then ordering efficiency is improved, but device complexity increases
Solution Approach 1:
The patent integrates multiple functions into a single brain-computer interface system. The same SSVEP detection mechanism serves both for menu item selection and order confirmation, while the controller handles signal processing, item identification, and communication with the service point, reducing the need for separate dedicated components for each function.
Solution Approach 2:
The system uses visual stimuli with specific frequencies as an intermediary between the passenger's intent and the ordering system. Each menu item is associated with a unique frequency, and the SSVEP response to these frequencies serves as a mediator that translates visual attention into selectable commands, simplifying the interface while maintaining accuracy.
3Ease of operation
If information is displayed on predetermined area in mobility, then passenger accessibility is improved, but display flexibility is reduced
Solution Approach 1:
The patent implements dynamic display characteristics where the predetermined area's properties (size, position, content) can change based on the mobility's state, passenger position, and ordering context. The display adapts its parameters in real-time while maintaining its function as a fixed reference point for SSVEP-based selection, balancing accessibility with flexibility.
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
Enables passengers to conveniently select and order items from drive-through services while en route, enhancing the user experience by streamlining the ordering process and improving mobility convenience.
Implementation Method 1
The brain wave signal may include steady-state visually evoked potentials (SSVEPs).
Data Source
AI summary
An apparatus and a method for selecting an item using a brain wave signal are disclosed. The method for selecting an item includes: receiving, by a receiver, information on at least one item from a service point; displaying, by a display, the received information on a predetermined area in a mobility; in response to the displayed information, collecting, by a sensor, a brain wave signal for at least one passenger in the mobility for a predetermined time; and determining, by a controller, the passenger's choice by analyzing the collected brain wave signal.