Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Control System Problem01:21

Control System Problem

431
In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
431
Combinatorial Gene Control02:33

Combinatorial Gene Control

9.7K
Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
9.7K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

470
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
470
Control Systems01:10

Control Systems

1.9K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
1.9K
Controller Configurations01:22

Controller Configurations

378
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
378
PID Controller01:19

PID Controller

713
Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
713

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

From Neural Representations to Brain-Inspired Architecture: Decoding Auditory Target Perception in Complex Scenes.

IEEE journal of biomedical and health informatics·2026
Same author

EEG-Based Movement Decoding in Motor-Impaired Patients by Extracting and Aligning Neural Patterns With Healthy Individuals.

IEEE journal of biomedical and health informatics·2025
Same author

Multi-functional 3D printed hydrogel electrodes for brain-computer interfaces and wearable sensing.

Journal of colloid and interface science·2025
Same author

Neuroanatomy-Informed Brain-Machine Hybrid Intelligence for Robust Acoustic Target Detection.

Cyborg and bionic systems (Washington, D.C.)·2025
Same author

A Bioinspired Multi-Level Numerical Model of the Tibiofemoral Joint for Biomechanical and Biomimetic Applications.

Biomimetics (Basel, Switzerland)·2025
Same author

Neural Signature and Decoding of Unmanned Aerial Vehicle Operators in Emergency Scenarios Using Electroencephalography.

Sensors (Basel, Switzerland)·2024

Related Experiment Video

Updated: Jan 31, 2026

Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000
12:07

Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000

Published on: July 29, 2009

18.4K

EEG Signals-Based Longitudinal Control System for a Brain-Controlled Vehicle.

Yun Lu, Luzheng Bi

    IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
    |December 25, 2018
    PubMed
    Summary

    Brain-controlled vehicles (BCVs) use electroencephalogram (EEG) signals for longitudinal control. Driver-in-the-loop experiments demonstrate the feasibility of using brain signals to control vehicles at high speeds.

    More Related Videos

    Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control
    09:37

    Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control

    Published on: July 5, 2015

    9.5K
    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
    11:54

    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

    Published on: May 8, 2021

    5.1K

    Related Experiment Videos

    Last Updated: Jan 31, 2026

    Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000
    12:07

    Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000

    Published on: July 29, 2009

    18.4K
    Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control
    09:37

    Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control

    Published on: July 5, 2015

    9.5K
    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
    11:54

    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

    Published on: May 8, 2021

    5.1K

    Area of Science:

    • Neuroscience
    • Automotive Engineering
    • Human-Computer Interaction

    Background:

    • Brain-computer interfaces (BCIs) offer potential for individuals with disabilities to regain mobility.
    • Controlling vehicles using brain signals presents a novel human-machine interaction paradigm.

    Purpose of the Study:

    • To propose and validate a novel longitudinal control system for brain-controlled vehicles (BCVs) using electroencephalogram (EEG) signals.
    • To investigate the feasibility of continuous vehicle control via EEG signals in realistic driving scenarios.

    Main Methods:

    • Development of a BCV system integrating a user interface, BCI, and a longitudinal control module.
    • Conducting driver-in-the-loop experiments with two driving tests (destination-approaching and car-following) under brain and manual control conditions.

    Main Results:

    • Experimental results confirmed the feasibility of using solely brain signals for continuous longitudinal vehicle control at high speeds for certain users.
    • The proposed system demonstrated effective integration of EEG signals for vehicle motion control.

    Conclusions:

    • This study validates the potential of EEG-based BCIs for controlling vehicles, promoting BCV development.
    • Findings offer insights into applying BCIs for controlling other high-speed dynamic systems.