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

Methods of Obtaining Topography01:25

Methods of Obtaining Topography

281
Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
281
Force Classification01:22

Force Classification

2.3K
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,...
2.3K
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

346
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
346
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

378
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
378
Application of Linearization and Approximation01:29

Application of Linearization and Approximation

36
A drone flying through complex terrain often relies on more than one sensing method to estimate small changes in altitude. Along with direct measurements, air pressure provides a useful indirect indicator of vertical movement. Atmospheric pressure decreases as altitude increases, and this relationship is commonly described using an exponential model. Although accurate, converting pressure measurements into altitude values requires calculations that are too complex to perform repeatedly during...
36

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

A Deep Learning Approach to Automatically Classify Ice Hockey Shooting Actions Using Acceleration Signals.

Sensors (Basel, Switzerland)·2026
Same author

Outdoor Walking Classification Based on Inertial Measurement Unit and Foot Pressure Sensor Data.

Sensors (Basel, Switzerland)·2026
Same author

Machine learning-based classification of ice hockey skating tasks using kinematic data.

Sports biomechanics·2025
Same author

Bridging the Methodological Gap Between Inertial Sensors and Optical Motion Capture: Deep Learning as the Path to Accurate Joint Kinematic Modelling Using Inertial Sensors.

Sensors (Basel, Switzerland)·2025
Same author

Exploration of Inertial Sensor-Derived Kinematic Predictors for Dynamic Balance Assessment in the Active Adult.

Open access journal of sports medicine·2025
Same author

Non-Linear Gait Dynamics Are Affected by Commonly Occurring Outdoor Surfaces and Sex in Healthy Adults.

Sensors (Basel, Switzerland)·2025
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: Jan 15, 2026

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

1.0K

传感器输入类型和位置影响户外运行地形通过深度学习方法进行分类.

Gabrielle Thibault1, Philippe C Dixon1, David J Pearsall1

  • 1Department of Kinesiology and Physical Education, McGill University, Montreal, QC H2W 1S4, Canada.

Sensors (Basel, Switzerland)
|October 16, 2025
PubMed
概括
此摘要是机器生成的。

研究人员发现,使用脚上安装的惯性测量单元 (IMU) 传感器的加速信号,结合步态周期分析,可以准确地分类像草地和青这样的跑步表面.

关键词:
加速加速加速的加速.角速度的角度速度.卷积神经网络是一种卷积神经网络.人类活动的认可 人类活动的认可惯性测量单位是一种惯性测量单位.预处理 预处理表面是表面的表面.

更多相关视频

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

11.1K
Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

471

相关实验视频

Last Updated: Jan 15, 2026

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

1.0K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

11.1K
Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

471

科学领域:

  • 生物力学和人类运动分析
  • 机器学习在体育科学中的应用
  • 可穿戴式传感器技术

背景情况:

  • 优化跑步性能和预防伤害需要了解不同的跑步表面如何影响生物力学.
  • 深度学习模型,特别是卷积神经网络 (CNN),显示了使用身上的传感器对活动进行分类的前景.
  • 没有先前的研究优化了信号类型,传感器位置和模型架构来分类运行表面.

研究的目的:

  • 确定信号类型,传感器位置和CNN架构的最佳组合,以准确地分类草地和青跑道.
  • 评估预处理步骤和数据分割协议对分类准确性的影响.

主要方法:

  • 收集了40名在草地和青表面跑步者的全身惯性测量单元 (IMU) 数据.
  • 测试了各种信号类型 (加速,角速度),传感器配置 (全身,下身,骨盆,脚) 和CNN架构.
  • 评估了预处理 (步行周期分离,振幅规范化) 和数据分割方法 (离开-n-主体排除,主体依赖) 的影响.

主要成果:

  • 加速信号表现优于角速度,将分类提高了3.8%.
  • 脚传感器配置实现了最高的准确性 (95.5%),相对于使用的传感器数量.
  • 将数据分为步行周期,避免振幅正常化,可显著提高准确度约28%.

结论:

  • 已经确定了开发有效的机器学习分类器的关键参数,用于识别人类活动.
  • 跑步表面分类工具可以为运动员和教练提供有价值的反,以培训个性化和预防伤害.
  • 这项技术有可能通过提供对不同地形的技术和努力的定量见解来提高跑步性能.