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

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
Correlation of Experimental Data01:23

Correlation of Experimental Data

Dimensional analysis simplifies complex physical problems and guides experimental investigations, but it does not provide complete solutions. It identifies the dimensionless groups that influence a phenomenon, but experimental data is needed to establish the specific relationships and validate theoretical predictions.
For example, a spherical particle moving through a viscous fluid experiences drag. Dimensional analysis shows that the drag force depends on the particle's diameter, velocity, and...

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

Finite element analysis and case series study of anchor loop plate fixation of patellar inferior pole sleeve avulsion fracture.

Scientific reports·2026
Same author

Mycoplasma pneumoniae infection impairs asthma control in pediatric patients and exacerbates allergic airway inflammation.

Respiratory research·2026
Same author

Clinical analysis of preoperative and postoperative anxiety and depression in patients with proximal humeral fractures.

BMC psychology·2026
Same author

Polysaccharide PSLP-1 from <i>Polygonatum sibiricum</i> Stems and Leaves Alleviates Depressive-like Behaviors and Modulates Gut Microbiota and Tryptophan Metabolism along the Gut-Brain Axis.

Journal of agricultural and food chemistry·2026
Same author

Artificial Crystalline-Amorphous Architecture Enables Continuous Ion Transport in Poly(Vinylidene Fluoride)-Based Solid-State Electrolytes.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

FreeKD+: A Frequency Knowledge Distillation Framework for Dense Prediction.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

A Dataset with Bilingual TV Commands for Silent Speech Interfaces Using Electroencephalographic Signals.

Scientific data·2026
Same journal

BEAMSTER: Brain mEtAstases segMentation for STEreotactic Radiotherapy, A Retrospective MRI Dataset with Expert Segmentations.

Scientific data·2026
Same journal

Chromosomal-level genome assembly of Tetraponera attenuata (Hymenoptera: Formicidae).

Scientific data·2026
Same journal

High quality Chromosome-scale Genome Assembly of Phlebotomus perniciosus, a Vector of Zoonotic Leishmaniasis.

Scientific data·2026
Same journal

Characterisation Data of common pharmaceutical excipient Powders and Tablets for Formulation Development.

Scientific data·2026
Same journal

Chinese Electric Vehicle Policy Database: A Dataset of Policy Goals, Instruments, and Supply Chain Stages.

Scientific data·2026
查看所有相关文章

相关实验视频

Updated: May 30, 2026

Driving Under the Influence: How Music Listening Affects Driving Behaviors
07:25

Driving Under the Influence: How Music Listening Affects Driving Behaviors

Published on: March 27, 2019

12.4K

一个用于驾驶行为分析的多式生理数据集.

Xiaoming Tao1,2, Dingcheng Gao1,2, Wenqi Zhang1,2

  • 1Tsinghua University, Department of Electronic Engineering, Beijing, 100084, China.

Scientific data
|April 12, 2024
PubMed
概括
此摘要是机器生成的。

这项研究使用EEG和ECG等多式生理信号分析了驾驶员的行为. 开发的数据集和模型将生理数据与驾驶行为相关联,推进交通心理学和自动驾驶研究.

更多相关视频

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

15.2K
Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.5K

相关实验视频

Last Updated: May 30, 2026

Driving Under the Influence: How Music Listening Affects Driving Behaviors
07:25

Driving Under the Influence: How Music Listening Affects Driving Behaviors

Published on: March 27, 2019

12.4K
Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

15.2K
Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.5K

科学领域:

  • 神经科学是一个神经科学.
  • 人与计算机的交互
  • 运输工程 运输工程

背景情况:

  • 驾驶员行为分析对于道路安全和自动驾驶系统至关重要.
  • 多模体生理信号为驾驶员的状态和行为提供了丰富的见解.
  • 现有的数据集可能缺乏全面分析的规模或多模式性.

研究的目的:

  • 用多式联络生理数据分析驾驶行为.
  • 开发和验证与驾驶行为相关联的生理信号的分类模型.
  • 为驾驶行为分析 (MPDB) 引入一个新的多式联络生理数据集.

主要方法:

  • 收集了35名参与者使用驾驶模拟器收集的多模式生理数据 (EEG,ECG,EMG,GSR,眼动).
  • 他将驾驶行为分为五个不同的类别:平稳驾驶,加速,减速,改变车道和转.
  • 开发和评估了用于行为分类的机器学习模型 (LDA,MMPNet,EEGNet).

主要成果:

  • 确认收集的生理和车辆数据的有效性和适用性.
  • 在生理信号和分类的驾驶行为之间展示了显著的相关性.
  • 成功开发了分类模型,能够区分不同的驾驶行为.

结论:

  • 多模式生理数据有效地反映了不同的驾驶行为.
  • 拟议的MPDB数据集为推进自动驾驶和交通心理学研究提供了宝贵的资源.
  • 这项工作有助于更深入地了解人类生理学与驾驶行为之间的相互作用.