Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Controlling a Mouse Pointer with a Single-Channel EEG Sensor.

Sensors (Basel, Switzerland)·2021
Same author

Low-Power Low-Cost Wireless Flood Sensor for Smart Home Systems.

Sensors (Basel, Switzerland)·2018
Same author

An Efficient Wireless Sensor Network for Industrial Monitoring and Control.

Sensors (Basel, Switzerland)·2018
Same author

A Smart Sensor for Defending against Clock Glitching Attacks on the I2C Protocol in Robotic Applications.

Sensors (Basel, Switzerland)·2017
Same author

A Wireless Sensor System for Real-Time Monitoring and Fault Detection of Motor Arrays.

Sensors (Basel, Switzerland)·2017
Same author

Design and implementation of a new real-time frequency sensor used as hardware countermeasure.

Sensors (Basel, Switzerland)·2013

相关实验视频

Updated: Jul 27, 2025

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

2.4K

一个基于硬件的可配置算法,用于使用单通道BCI耳机检测眼信号.

Rafael López-Ahumada1, Raúl Jiménez-Naharro1, Fernando Gómez-Bravo2

  • 1Departamento de Ingeniería Electrónica Sistemas Informáticos y Automática, Universidad de Huelva, 21007 Huelva, Spain.

Sensors (Basel, Switzerland)
|June 10, 2023
PubMed
概括

一个新的硬件算法有效地检测电脑电图 (EEG) 信号的眼. 这种低成本的方法改善了制造商软件的脑电脑接口 (BCI) 应用程序.

关键词:
对于Arduino来说,这是一个很大的问题.在FPGA中,FPGA是指FPGA.头脑波头戴式耳机是什么意思眼睛眼的检测 眼睛眼的检测

更多相关视频

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content
10:41

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content

Published on: May 26, 2018

6.9K
Classical Short-Delay Eyeblink Conditioning in One-Year-Old Children
07:36

Classical Short-Delay Eyeblink Conditioning in One-Year-Old Children

Published on: September 1, 2018

23.8K

相关实验视频

Last Updated: Jul 27, 2025

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

2.4K
Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content
10:41

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content

Published on: May 26, 2018

6.9K
Classical Short-Delay Eyeblink Conditioning in One-Year-Old Children
07:36

Classical Short-Delay Eyeblink Conditioning in One-Year-Old Children

Published on: September 1, 2018

23.8K

科学领域:

  • 生物医学工程 生物医学工程
  • 神经科学是一个神经科学.
  • 计算机科学 计算机科学

背景情况:

  • 眼会产生脑电图 (EEG) 信号中的人工物.
  • 这些文物通过脑计算机接口 (BCI) 在人机交互 (HCI) 中得到利用.
  • 有效且负担得起的眼检测对于推进BCI技术至关重要.

研究的目的:

  • 开发和实施一个可配置的硬件算法来检测单通道EEG信号中的眼.
  • 评估开发的算法的性能与现有的制造商提供的软件相比.

主要方法:

  • 使用硬件描述语言设计了一个硬件算法.
  • 该算法处理来自单通道BCI耳机的EEG信号,以检测眼.
  • 基于有效性和检测时间来评估性能.

主要成果:

  • 开发的硬件算法在检测眼时表现出卓越的有效性.
  • 与制造商提供的软件相比,该算法实现了更快的检测时间.
  • 该系统为BCI应用提供了低成本的解决方案.

结论:

  • 可配置的硬件算法提供了一种有效和高效的方法,用于使用EEG信号检测眼.
  • 这种方法增强了人机交互技术的发展.
  • 开发的算法为现有解决方案提供了有价值,低成本的替代方案.