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

Force Classification01:22

Force Classification

1.2K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
1.2K
Neural Control of Respiration01:18

Neural Control of Respiration

2.5K
The neural regulation of respiration is a meticulously coordinated process primarily controlled by the respiratory centers located within the brainstem. These centers, composed of specialized neurons, transmit nerve impulses that control the contraction and relaxation of our respiratory muscles.
Respiratory Centers in the Brainstem
Two primary areas comprise the respiratory center: the medullary respiratory center in the medulla oblongata and the pontine respiratory group in the pons. The...
2.5K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

113
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...
113
Nonconscious Mimicry01:13

Nonconscious Mimicry

4.6K
Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
4.6K
Association Areas of the Cortex01:21

Association Areas of the Cortex

5.5K
Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
5.5K

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 authorSame journal

Effective Connectivity-based Unsupervised Channel Selection Method for Electroencephalography.

Journal of medical signals and sensors·2026
Same author

Leveraging Artificial Intelligence for Personalized Pharmacotherapy: Emerging Roles for Pharmacists.

Journal of pharmacy practice·2026
Same author

A joint CNN-Bi-LSTM-transformer architecture with SHAP explanations for multi-label arrhythmia detection from 12-lead ECGs.

Scientific reports·2026
Same author

Toward non-invasive diagnostics through AuNSs@Nano-MIP biosensor for sensitive lactoferrin detection in sweat.

Talanta·2025
Same author

Nano-engineered biomimetic materials: toward point-of-care diagnosis of infectious diseases.

Mikrochimica acta·2025
Same author

Strategic frameworks: A review of game theory methods for privacy preservation in digital health.

Computers in biology and medicine·2025
Same journal

Predicting Theta/Alpha Neurofeedback Success through Psychological and Personality Profiles: A Hybrid Approach Using Multilayer Perceptron and Elastic Net Models.

Journal of medical signals and sensors·2026
Same journal

Efficient Techniques Based on Sparse Representation for Classifying High-dimensional Multiclass Microarray Data.

Journal of medical signals and sensors·2026
Same journal

Supervised Volumetric Segmentation of White and Gray Matter from Brain Positron Emission Tomography Images Using Magnetic Resonance Labels.

Journal of medical signals and sensors·2026
Same journal

Enhancement of Digital Mammography Images Using Neutrosophic Divergence Score Based on Intuitionistic Fuzzy Entropy.

Journal of medical signals and sensors·2026
Same journal

Monitoring the Adverse Implications of Coronavirus 2019-induced Pulmonary Complications on Patients' Respiratory Capacity and Physical Abilities with Moderate and Severe Signs during Interval Follow-up.

Journal of medical signals and sensors·2026
查看所有相关文章

相关实验视频

Updated: Jul 14, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

3.8K

使用轻量级深度学习模型的情感识别嵌入式系统.

Mehdi Bazargani1, Amir Tahmasebi1, Mohammadreza Yazdchi1

  • 1Department of Biomedical Engineering, Faculty of Engineering, University of Isfahan, Isfahan, Iran.

Journal of medical signals and sensors
|October 9, 2023
PubMed
概括
此摘要是机器生成的。

这项研究使用脑电图 (EEG) 信号和卷积神经网络 (CNN) 模型准确诊断情绪状态. 开发的轻量级实时系统可以实现高准确度,用于实际的人机交互应用.

关键词:
卷积神经网络是一种卷积神经网络.电脑脑电图 (EEG) 是一种电脑电图.嵌入式系统嵌入式系统情感识别 情感识别 情感识别

更多相关视频

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

569
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

568

相关实验视频

Last Updated: Jul 14, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

3.8K
Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

569
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

568

科学领域:

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

背景情况:

  • 情绪状态诊断对于增强人机交互 (HCI) 至关重要.
  • 电脑电图 (EEG) 信号为情绪识别提供准确和有信息的数据.
  • 以前的研究表明EEG信号与情绪状态之间存在关联.

研究的目的:

  • 开发和评估使用EEG信号进行情绪诊断的卷积神经网络 (CNN) 模型.
  • 创建一个轻量级和可实现的模型,用于实时情绪识别在嵌入式系统上,如树Pi.
  • 在主体依赖和主体独立的设置中评估模型性能.

主要方法:

  • 在EEG信号处理中应用了三种CNN模型 (EEGNet,ShallowConvNet,DeepConvNet).
  • 使用基线删除预处理来提高分类准确性.
  • 在DEAP数据集上以主体依赖和主体独立的配置评估模型.
  • 优化了CNN模型以在Raspberry Pi上轻量化实现,以实时识别情绪.

主要成果:

  • 获得了高分类准确度:在取决于主体的环境中,对价值的99.10%和兴奋的99.20%.
  • 在独立于主体的设置中,获得了对价值的90.76%准确性和对唤起的90.94%准确性.
  • 在嵌入式系统上展示了实时情绪识别能力.

结论:

  • 该研究成功开发了一种高度准确和可实施的基于EEG的情绪诊断模型.
  • 轻量级的CNN模型适用于人机交互中的实用实时应用.
  • 结果与相关工作相比较有利,表明该领域取得了重大进展.