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

Classification of Systems-I01:26

Classification of Systems-I

Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Classification of Systems-II01:31

Classification of Systems-II

Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
Physiology of Emotion01:20

Physiology of Emotion

The physiology of emotions is a multifaceted process involving the autonomic nervous system, brain structures, hormones, and neurotransmitters. This intricate interplay dictates how emotions manifest in the body and influence behavior.
Autonomic Nervous System
The autonomic nervous system (ANS) plays a critical role in emotional responses by regulating involuntary physiological functions. It consists of two main components: the sympathetic and parasympathetic systems. The sympathetic system...
Labeling Emotion01:20

Labeling Emotion

Emotional labeling is a cognitive process that involves identifying and naming one's emotions, such as anger, fear, happiness, or sadness. It allows individuals to recognize and express their internal emotional states, a critical aspect of emotional regulation and communication. Labeling emotions requires more than mere recognition; it also involves drawing upon memory and contextual cues to understand the current situation and apply a corresponding emotional label. For instance, feeling...
Cognitive Theories: Schachter-Singer Theory of Emotion01:20

Cognitive Theories: Schachter-Singer Theory of Emotion

Stanley Schachter and Jerome Singer proposed the two-factor theory of emotion, which emphasizes the interplay between physiological arousal and cognitive labeling in forming emotional experiences. This theory suggests that emotions are not simply a result of physiological responses but rather a combination of these responses and the individual's cognitive interpretation of them.
Physiological Arousal and Cognitive Labeling
According to this theory, when an individual experiences physiological...
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...

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

Making a case for using MDMA-assisted psychotherapy for borderline personality disorder and complex PTSD: a descriptive systematic review of the literature.

Therapeutic advances in psychopharmacology·2026
Same author

Robotic Magnetic Navigation Versus Manual Catheter Ablation for Premature Ventricular Contractions: A Single-center Retrospective Cohort Study.

The Journal of innovations in cardiac rhythm management·2026
Same author

Mechanics of Long-Shank 5 mm Neural Probe Insertion into the Rat Brain: Effects of Geometry and Vibration-Assisted Insertion.

Micromachines·2026
Same author

Time to diagnosis and treatment for borderline personality disorder - opportunities and pitfalls during the consumer mental health journey.

Journal of psychiatric research·2026
Same author

A tooth autotransplantation cost model for pediatric through young adult patients.

Journal of the American Dental Association (1939)·2026
Same author

Dual BCL-xL and BCL-2 Inhibition for Advanced Myeloid Neoplasms: A phase 1 dose-escalation study of Navitoclax, Venetoclax, and Decitabine.

Clinical cancer research : an official journal of the American Association for Cancer Research·2026

相关实验视频

Updated: Jul 9, 2026

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

44.0K

使用步态生物力学和机器学习进行情绪分类.

Angeloh Stout1, Justin Macneal Cadenhead1, Mrigank Maharana1

  • 1Department of Bioengineering, Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas, Richardson, TX, USA.

Gait & posture
|November 23, 2025
PubMed
概括
此摘要是机器生成的。

从行走模式中识别情绪是可行的,使用3D步态生物力学和机器学习. 这种方法为情绪识别提供了一种新的方法,在心理健康方面有潜在的应用.

关键词:
生物力学 生物力学情绪识别 情绪识别情绪 情绪 情绪步行方式 步行方式机器学习是机器学习.模式识别 模式识别 模式识别

更多相关视频

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

10.8K
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

5.2K

相关实验视频

Last Updated: Jul 9, 2026

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

44.0K
A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

10.8K
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

5.2K

科学领域:

  • 生物力学 生物力学
  • 机器学习 机器学习
  • 情感计算是一种情感计算.

背景情况:

  • 情绪影响步行模式,使步态成为情绪识别的潜在数据来源.
  • 基于步态的情绪检测在传统方法 (如面部表情) 上具有优势,因为其减少了操纵易感性.

研究的目的:

  • 通过3D步态生物力学和机器学习算法来确定识别情绪状态的可行性.

主要方法:

  • 15名健康的成年人在步行试验中回忆回忆以引起情绪 (愤怒,悲伤,快乐,恐惧,中立).
  • 一个3D光电子运动捕捉系统记录了步态生物力学,提取了155个变量.
  • 通过交叉验证和解决类不平衡的技术,评估了五个机器学习算法.

主要成果:

  • 机器学习模型在分类情绪状态方面实现了高于偶然的准确性 (59%).
  • 极端梯度提升 (XGBoost) 使用前20个生物力学变量表现出最高的性能 (59%的准确性).
  • 悲伤是最准确检测到的情绪 (准确率为66%).

结论:

  • 与机器学习相结合的3D步态分析显示出作为情感识别的替代方法的希望.
  • 这项研究为开发用于检测心理健康状况中的情绪波动的工具提供了基础证据.