Search research articles

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 Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

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

Economic evaluation of alternative PCV13 vaccination strategies in Guangxi, China: a decision tree-Markov model study.

Vaccine·2026

Same author

Economic evaluation of including the EV71 vaccine in the national immunization program: a modeling study in Guangxi, China.

Frontiers in public health·2026

Same author

Dynamic temporal partitioning enhanced transformer for pediatric viral load forecasting.

Frontiers in public health·2026

Same author

Solid-phase synthesis of sterically hindered peptides via ribosome-mimicking molecular reactors.

Nature protocols·2026

Same author

Oncolytic Herpes Simplex Virus for Glioblastoma: Molecular Engineering, Tumor Microenvironment Barriers, and Clinical Translation.

Current issues in molecular biology·2026

Same author

Heterogeneous domain adaptation survival analysis with partially observed outcomes via dictionary learning and distribution alignment.

Journal of biomedical informatics·2026

Search research articles

相关实验视频

Updated: Jan 16, 2026

Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment

Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment

Published on: May 23, 2025

一个ST-ConvLSTM网络用于3D人类关键点定位使用MmmWave雷达.

Siyuan Wei¹, Huadong Wang¹, Yi Mo¹

¹School of Electronic Science and Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.

Sensors (Basel, Switzerland)

|September 27, 2025

概括

这项研究引入了一种新的ST-ConvLSTM网络,用于使用毫米波雷达精确的3D人类关键点估计. 该模型显示,即使在复杂的环境中,姿势识别准确度也得到了显著改进.

关键词:

双眼镜摄像机注释双眼镜摄像机注释人类关键点本地化本地化毫米波雷达是指一个毫米波雷达.雷达点云数据集数据集时间空间的特征是融合.

更多相关视频

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

Neuronavigated Focalized Transcranial Direct Current Stimulation Administered During Functional Magnetic Resonance Imaging

Neuronavigated Focalized Transcranial Direct Current Stimulation Administered During Functional Magnetic Resonance Imaging

Published on: November 15, 2024

相关实验视频

Last Updated: Jan 16, 2026

Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment

Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment

Published on: May 23, 2025

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

Neuronavigated Focalized Transcranial Direct Current Stimulation Administered During Functional Magnetic Resonance Imaging

Neuronavigated Focalized Transcranial Direct Current Stimulation Administered During Functional Magnetic Resonance Imaging

Published on: November 15, 2024

科学领域:

计算机视觉计算机视觉
机器学习机器学习
雷达信号处理雷达信号处理

背景情况:

精确的人类关键点定位对于各种应用程序至关重要,但在复杂的环境中具有挑战性.
毫米波 (mmWave) 雷达为人类活动识别提供了强大的传感能力.

研究的目的:

使用毫米波雷达点云开发一个用于3D人类关键点估计的深度学习模型.
为基于毫米波雷达的人体姿势估计引入新的数据集和注释系统.

主要方法:

一个ST-ConvLSTM网络被设计用于处理来自融合点云的多通道雷达图像输入.
网络中的并行路径从连续的雷达数据中提取时空特征.
一个混合人类运动注释系统 (HMAS) 被用来创建毫米波雷达3D人类关键点数据集 (MRHKD).

主要成果:

该ST-ConvLSTM网络实现了0.1075米 (水平),0.0633米 (垂直) 和0.1180米 (深度) 的平均绝对误差 (MAE).
该模型有效地捕捉了雷达图像中的时间依赖性和空间模式,以改进定位.
实验结果显示,在具有挑战性的条件下,姿势识别准确度提高.

结论:

拟议的ST-ConvLSTM网络对于使用毫米波雷达进行3D人类关键点估计是有效的.
开发的数据集和注释系统有助于进一步研究这一领域.
该模型显示了需要强大的人类姿势估计的应用程序的巨大潜力.