Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Applications Of NMR In Biology01:25

Applications Of NMR In Biology

3.7K
Nuclear magnetic resonance (NMR) spectroscopy is a very valuable analytical technique for researchers. It has been used for more than 50 years as an analytical tool. F. Bloch and E. Purcell formulated NMR in 1946 and won the 1952 Nobel Prize in Physics  for their work. Biological macromolecules such as proteins, nucleic acids, lipids, and organic molecules including pharmaceutical compounds, can be studied using this versatile tool that exploits the magnetic properties of certain nuclei.
3.7K
Applications of IR Spectroscopy: Overview01:11

Applications of IR Spectroscopy: Overview

756
The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...
756
Doppler Effect - II01:05

Doppler Effect - II

3.4K
The Doppler effect has several practical, real-world applications. For instance, meteorologists use Doppler radars to interpret weather events based on the Doppler effect. Typically, a transmitter emits radio waves at a specific frequency toward the sky from a weather station. The radio waves bounce off the clouds and precipitation and travel back to the weather station. The radio frequency of the waves reflected back to the station appears to decrease if the clouds or precipitation are moving...
3.4K
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

50
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
50
Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

38
Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over short...
38

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Leveraging Mixture Alignment for Multi-Source Domain Adaptation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2025
Same author

Minimal data poisoning attack in federated learning for medical image classification: An attacker perspective.

Artificial intelligence in medicine·2024
Same author

Memory Guided Transformer With Spatio-Semantic Visual Extractor for Medical Report Generation.

IEEE journal of biomedical and health informatics·2024
Same author

Estimation of number of unmanned aerial vehicles in a scene utilizing acoustic signatures and machine learning.

The Journal of the Acoustical Society of America·2023
Same author

Facial Expression Recognition in Videos using Dynamic Kernels.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2020
Same author

Spontaneous Expression Recognition using Universal Attribute Model.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2018

Related Experiment Video

Updated: Jul 11, 2025

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

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

Published on: May 1, 2018

7.8K

Recent Advances in mmWave-Radar-Based Sensing, Its Applications, and Machine Learning Techniques: A Review.

A Soumya1, C Krishna Mohan1, Linga Reddy Cenkeramaddi2

  • 1Department of Computer Science Engineering, Indian Institute of Technology, Hyderabad 502285, India.

Sensors (Basel, Switzerland)
|November 14, 2023
PubMed
Summary

Millimeter wave (mmWave) radar sensors offer robust performance in diverse conditions, enabling advanced applications. This review explores mmWave radar sensing, applications, and machine learning integration for practical development.

Keywords:
automotive applicationscomputer visionindustrial applicationsmachine learningmedical applicationsmilitary applicationsmmWave radarmmWave radar applications

More Related Videos

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
Harmonic Radar Tags for Insect Tracking: Lightweight, Low-cost, and Accessible
14:44

Harmonic Radar Tags for Insect Tracking: Lightweight, Low-cost, and Accessible

Published on: May 13, 2025

608

Related Experiment Videos

Last Updated: Jul 11, 2025

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

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

Published on: May 1, 2018

7.8K
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
Harmonic Radar Tags for Insect Tracking: Lightweight, Low-cost, and Accessible
14:44

Harmonic Radar Tags for Insect Tracking: Lightweight, Low-cost, and Accessible

Published on: May 13, 2025

608

Area of Science:

  • Electromagnetics and Sensor Technology
  • Machine Learning and Artificial Intelligence
  • Data Science and Signal Processing

Background:

  • Millimeter wave (mmWave) radar sensors have advanced significantly, offering unique advantages over other sensing technologies.
  • Key benefits include reliable operation in various lighting conditions (bright, dazzling, no-light) and superior antenna miniaturization and range resolution.
  • The increasing availability of datasets fuels the integration of mmWave radar data into machine learning (ML) for diverse applications.

Purpose of the Study:

  • To provide a comprehensive review of mmWave radar-based sensing.
  • To detail key performance metrics, diverse applications, and relevant machine learning techniques.
  • To serve as a practical reference for developers utilizing mmWave radar and ML.

Main Methods:

  • Review of mmWave radar working bands, types, and key specifications.
  • Analysis of mmWave radar data interpretation methodologies.
  • Exploration of machine learning algorithms applied to mmWave radar data for various tasks.

Main Results:

  • mmWave radar technology enables critical applications such as gesture detection, obstacle avoidance, and automotive driving.
  • The review categorizes and discusses the vast application domains of mmWave radar sensing.
  • Identified and summarized various machine learning techniques suitable for mmWave radar data processing.

Conclusions:

  • mmWave radar sensors are versatile and powerful tools with broad applicability across numerous fields.
  • The synergy between mmWave radar data and machine learning significantly enhances sensing capabilities.
  • This review offers a foundational guide for leveraging mmWave radar technology with machine learning.