Vehicle Brain-Machine Interface for Rider Intent Assistance
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Solution Overview
Problem
Conventional vehicle assistance systems for riders, such as two-wheeler riders, often fail to account for human factors like experience level, leading to ineffectiveness for inexperienced riders, and require user input or provide only suggestions for maneuvers like parking, which can be challenging for amateur riders.
Innovation Solution
A Brain-Machine Interface (BMI) system that captures brainwave signals using electrodes to determine the rider's intentions and controls vehicle components, such as braking or clutch, to assist in performing specific tasks like acrobatic maneuvers or driving maneuvers, providing real-time assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional vehicle assistance systems provide driving suggestions and warnings, then system complexity is reduced and ease of operation is improved, but effectiveness for inexperienced riders deteriorates because human factors like experience level are not incorporated
Solution Approach 1:
The patent replaces conventional mechanical input methods (handlebar grips, buttons) with a Brain-Machine Interface that directly captures brainwave signals. This substitution enables the system to detect rider intentions without physical input, automatically adapting assistance based on the rider's experience level and providing proactive support for complex maneuvers, thereby resolving the contradiction between ease of operation and effectiveness.
2Device complexity
If conventional systems require user input or provide only suggestions, then device complexity is reduced, but usefulness for inexperienced riders deteriorates as they cannot perform complex maneuvers independently
Solution Approach 1:
The system employs self-service by using the rider's own brainwave signals as the control input mechanism. The BMI captures neural signals indicating intent to perform maneuvers, and the control circuitry automatically translates these signals into appropriate vehicle control actions. This eliminates the need for complex user interfaces while providing adaptive assistance that scales with the rider's skill level, resolving the contradiction between device complexity and usefulness.
3Adaptability or versatility
If Brain-Machine Interface captures and processes brainwave signals to determine control information, then adaptability to rider experience level is improved, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary layer between the rider's intentions and vehicle control through the Brain-Machine Interface system. The BMI with its electrodes and the control circuitry act as mediators that capture, process, and interpret brainwave signals to determine control information. This intermediary approach enables fine-grained adaptability to rider experience levels and intent detection, justifying the increased device complexity by providing superior adaptability and assistance effectiveness.
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 inexperienced riders to comfortably perform complex tasks by interpreting brain signals to control vehicle components, enhancing the riding experience and ensuring safety by providing real-time assistance and adaptive control based on the rider's skill level.
Implementation Method 1
The control circuitry may capture a plurality of brainwave signals via the plurality of electrodes
Data Source
AI summary
A system and method for various vehicle-related applications is provided. The system includes a brain-machine interface (BMI) including a plurality of electrodes and control circuitry coupled to the plurality of electrodes. The control circuitry captures a plurality of brainwave signals via the plurality of electrodes and determines control information indicative of an intention to perform a specific task using one or more components of the vehicle. The control information is determined based on the captured plurality of brainwave signals. Further, the control circuitry controls the one or more components of the vehicle so as to provide assistance to perform the specific task. The one or more components of the vehicle are controlled based on the determined control information.