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

Drive-Reduction Theory: Push Theory of Motivation01:27

Drive-Reduction Theory: Push Theory of Motivation

Clark Hull's drive-reduction theory, introduced in the 1940s and 1950s and often termed the "push theory" of motivation, provides a framework for understanding how biological and learned drives influence behavior. Hull suggested that motivation originates from the need to alleviate physiological tension caused by unmet biological necessities. The theory proposes that when a basic need, such as hunger or sleep, goes unfulfilled, it creates an internal imbalance. This imbalance, or drive, pushes...

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

NMR-Based Metabolic Profiling of Biobank Derived Blood Samples for the Identification of Liver Disease Biomarkers.

Biomolecules & therapeutics·2026
Same author

Bayesian colocalization of psychiatric disorder GWAS signals with molecular quantitative trait loci highlights histone involvement and neuroimmune dysregulation in pathogenesis.

Psychiatry research·2026
Same author

Severe Acute Respiratory Syndrome Coronavirus 2 Detection and Variant Analysis in Respiratory Specimens from a Clinical Laboratory.

Public health weekly report·2026
Same author

EK-16005, a 2-anilinopyrimidine derivative, inhibits breast cancer progression by regulating myeloid-derived suppressor cells.

BMB reports·2026
Same author

Spatial assessment of heat risk from deregulation of greenbelt in Seoul, South Korea.

Scientific reports·2026
Same author

Correction: Four new hydroxyl fatty acids, gambaoic acids A-C and gambaoic B methyl ester, from Shrimp Jeotgal-derived Bacillus sp. SNB-066.

The Journal of antibiotics·2026

相关实验视频

Updated: May 11, 2026

Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive Tasks
10:07

Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive Tasks

Published on: December 2, 2015

27.0K

利用原始心理生理数据和功能数据分析来估计人类驾驶员的心理工作负载.

David Eniyandunmo1, MinJu Shin1,2, Chaeyoung Lee1,2

  • 1Mechanical, Automotive, and Materials Engineering, University of Windsor, Windsor, ON, Canada.

Ergonomics
|July 22, 2024
PubMed
概括

使用原始生理数据和功能数据分析 (FDA) 估计驾驶员的心理工作量,达到90%的准确性. 这种方法绕过了特征提取,为现实应用提供了更精确,更有效的方法.

关键词:
生物信号 生物信号心理生理学的心理-生理学的.估计模型的估计模型.功能性数据分析数据分析.人类驾驶员是人类的司机.心理工作负荷是什么模型比较模型比较这是生理生理生理的.主观的评级是主观的评级.

更多相关视频

Conducting Concurrent Electroencephalography and Functional Near-Infrared Spectroscopy Recordings with a Flanker Task
13:18

Conducting Concurrent Electroencephalography and Functional Near-Infrared Spectroscopy Recordings with a Flanker Task

Published on: May 24, 2020

7.7K
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 11, 2026

Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive Tasks
10:07

Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive Tasks

Published on: December 2, 2015

27.0K
Conducting Concurrent Electroencephalography and Functional Near-Infrared Spectroscopy Recordings with a Flanker Task
13:18

Conducting Concurrent Electroencephalography and Functional Near-Infrared Spectroscopy Recordings with a Flanker Task

Published on: May 24, 2020

7.7K
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:

  • 人与计算机的交互
  • 认知工程是认知工程.
  • 物理计算生理学计算

背景情况:

  • 精确的心理工作量估计对于驾驶员的安全至关重要.
  • 目前使用机器学习和从生理信号中提取特征的方法存在局限性,包括信息丢失和缺乏特异性.

研究的目的:

  • 调查使用原始生理数据与功能数据分析 (FDA) 进行精确的心理工作负载估计的人类驾驶员的可行性.
  • 克服传统特征提取方法的局限性.

主要方法:

  • 使用原始生理数据,包括脑电图 (EEG),面部肌电图 (EMG),心电图 (ECG),皮电活动 (EDA) 和瞳孔测量.
  • 在五任务驾驶场景中,应用功能数据分析 (FDA) 对九种不同组合的原始生理信号进行了研究.
  • 收集主观的工作负载额定值进行验证.

主要成果:

  • 在使用FDA与原始生理信号来估计心理工作负载时,达到90%的最大准确度.
  • 超过传统提取特征的73%,证明了拟议方法的优越性.
  • 与主观工作负载评级相对应的验证结果.

结论:

  • 结合FDA的原始生理数据,可以在没有特征提取的情况下准确地估计人类驾驶员的心理工作量.
  • 这种方法为现实世界的心理工作量评估提供了一个有希望的,不那么繁的替代方案.
  • 这些发现对改善驾驶员安全和认知负载监控系统有重大影响.