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

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the C=O, C=N, and C=C occur between 1600–1850 cm−1.
The...

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

Hydrothermal Humification of Biomass for Circular Carbon Management in Sustainable Agro-Ecosystems.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

A Study on the ED90 of Esketamine Combined with Ropivacaine for Early Epidural Analgesia During the First Stage of Labor in Nulliparous Women: A Randomized, Sequential Dose-Finding Trial.

International journal of women's health·2026
Same author

G protein-coupled receptor 119 regulates hepatic lipid homeostasis in zebrafish (Danio rerio).

Comparative biochemistry and physiology. Part B, Biochemistry & molecular biology·2026
Same author

G protein-coupled receptor 119 exerts anti-inflammatory effects on the liver of zebrafish (Danio rerio) via mediating G<sub>s</sub>/cAMP-dependent pathway.

Fish & shellfish immunology·2026
Same author

Differential effects of calcium channel blockers combined with various opioids on length of stay in hypertensive cardiac surgery patients: analysis of the MIMIC-IV database.

BMC cardiovascular disorders·2026
Same author

AI-driven multi-omics drug repurposing nominates AZD7762 as a multitarget inhibitor of IL22RA1 and FAM221A in esophageal squamous cell carcinoma.

NPJ precision oncology·2026

相关实验视频

Updated: May 12, 2026

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.5K

基于TRANS-CNN的手势识别用于毫米波雷达.

Huafeng Zhang1, Kang Liu1, Yuanhui Zhang1

  • 1College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, China.

Sensors (Basel, Switzerland)
|March 28, 2024
PubMed
概括

本研究介绍了基于点云的手势识别,使用毫米波雷达来提高实时性能. 新型的TRANS-CNN模型实现了高精度,在有限的数据上超过了现有的方法.

科学领域:

  • 工程 工程师 工程师 工程师
  • 计算机科学 计算机科学
  • 信号处理 信号处理

背景情况:

  • 来自毫米波雷达的微多普勒地图对于手势识别至关重要.
  • 实时性能限制阻碍了当前的毫米波雷达手势识别系统.
  • 为了准确的手势分类,需要先进的特征提取.

研究的目的:

  • 为毫米波雷达提出基于点云的手势识别方法.
  • 为了提高手势识别系统的实时性能.
  • 为准确的手势分类开发一个强大的模型.

主要方法:

  • 使用3D-FFT和峰值分组估计了手势点云.
  • 一个TRANS-CNN模型,结合多头自我注意和1D-CNN,被训练用于特征提取.
  • 实验使用TI毫米波雷达传感器IWR1642和实验室开发的2Tx2Rx传感器.

主要成果:

  • 拟议的方法通过基准传感器实现了98.5%的准确性.
  • 实验室开发的传感器显示了97.1%的识别精度.
  • 该方法在有限的培训数据下显示出优异的实时性能.
关键词:
跨越CNN的东西.动态手势识别 动态手势识别毫米波雷达是什么意思?多头自我注意力机制.一个点云,一个点云.

更多相关视频

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

3.7K
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

465

相关实验视频

Last Updated: May 12, 2026

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.5K
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

3.7K
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

465

结论:

  • 基于点云的手势识别方法显著提高了实时性能.
  • TRANS-CNN模型有效地提取了深层特征,以准确地分类手势.
  • 这种方法为基于毫米波雷达的手势识别应用提供了有前途的解决方案.