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

Assessment of hESC-IMRC-Exo for Cardiac and Cerebral Injuries Post-Cardiac Arrest Resuscitation: Safety, Pharmacokinetics, and Efficacy.

Journal of cellular and molecular medicine·2026
Same author

Target-switchable molecular imaging platform for 3D protein mapping in single cells by synchrotron radiation hard X-ray nanotomography.

Talanta·2026
Same author

The Association between Brain Oscillatory Activity and Immediate Memory under Different Magnetoencephalography Paradigms: A population-based Study.

NeuroImage·2026
Same author

Correction: Camel Whey protein ameliorates type Ⅰ diabetic cardiomyopathy by mitigating oxidative stress, inflammation and apoptosis.

Food science of animal resources·2026
Same author

Adaptive Protein Corona Nanoassemblies Couple Cytokine Signaling with Endogenous Antigen Transport for Systemic Cancer Immunity.

Journal of the American Chemical Society·2026
Same author

Quantitative molecular cartography of emergency myelopoiesis reveals conserved modules of hematopoietic activation.

Cell stem cell·2026
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: Sep 18, 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

4.1K

基于光GBM的人类动作识别使用传感器.

Yinuo Liu1, Ziwei Chen2

  • 1Department of Computer Science and Technology, College of Information Engineering, Northwest A&F University, Yangling, Xianyang 712100, China.

Sensors (Basel, Switzerland)
|June 27, 2025
PubMed
概括
此摘要是机器生成的。

这项研究使用智能手机传感器和高级功能提取来增强人类活动识别 (HAR). 轻GBM算法实现了超过95%的准确性,改善了对类似活动的识别.

关键词:
轻GBMM 轻GBM 轻GBM 轻GBM功能选择 功能选择人类活动的认可 人类活动的认可

更多相关视频

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable
09:24

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable

Published on: May 17, 2024

1.6K
Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

9.0K

相关实验视频

Last Updated: Sep 18, 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

4.1K
Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable
09:24

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable

Published on: May 17, 2024

1.6K
Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

9.0K

科学领域:

  • 计算机科学 计算机科学
  • 机器学习 机器学习
  • 信号处理 信号处理

背景情况:

  • 使用智能手机的人类活动识别 (HAR) 由于设备的便携性而获得了吸引力.
  • 区分类似的活动 (例如,倾斜与步行,爬楼梯/下楼梯) 仍然是一个挑战.
  • 现有的HAR方法在细微的运动中难以准确.

研究的目的:

  • 为了提高智能手机上的HAR的准确性和稳定性.
  • 解决类似人类活动之间的歧视问题.
  • 为了提高HAR模型的效率.

主要方法:

  • 使用智能手机传感器 (加速计和陀螺仪) 来获取数据.
  • 开发了一种包括时间和频率领域的综合特征提取方法,产生了300多个特征.
  • 使用LightGBM算法来分析提取的特征,并通过网格搜索优化模型参数.
  • 应用特征选择和维度减小技术以提高模型效率.

主要成果:

  • 拟议的特征提取方法显著提高了HAR准确性.
  • 轻GBM的表现优于随机森林和XGBoost,达到94.98%的准确率.
  • 网格搜索优化进一步提高了LightGBM的预测准确度,达到95.35%.
  • 特性选择和维度减小将模型的时间效率提高了70.14%,而不会影响准确性.

结论:

  • 开发的特征提取和基于LightGBM的方法有效地提高了HAR准确性,特别是在类似的活动中.
  • 这项研究证明了基于智能手机的强大和高效的方法.
  • 优化的模型显示出高预测准确性和更高的计算效率.