Jove
Visualize
Contact Us

Related Concept Videos

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

198
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
198
Gas Chromatography: Types of Detectors-II01:19

Gas Chromatography: Types of Detectors-II

610
In gas chromatography, different detectors are employed to meet specific analytical needs. These detectors are often categorized based on their detection mechanisms and the types of compounds they are best suited to analyze. Thermal Conductivity Detectors (TCD), Flame Ionization Detectors (FID), and Electron Capture Detectors (ECD) represent common categories, each with unique operating principles and applications. However, beyond these, several other detectors are designed for more specialized...
610
High-Performance Liquid Chromatography: Types of Detectors01:15

High-Performance Liquid Chromatography: Types of Detectors

931
The role of the detectors in High-Performance Liquid Chromatography (HPLC) is to analyze the solutes as they exit from the chromatographic column. The detector recognizes the solute's property and generates corresponding electrical signals, which are converted into a readable graph of the detector's response versus elution time called a chromatogram at the computer. There are several types of HPLC detectors, each with its own advantages and limitations, depending on the analyte...
931
Gas Chromatography: Types of Detectors-I01:21

Gas Chromatography: Types of Detectors-I

756
There are different types of detectors used in gas chromatography, each with its own specific properties that make it suitable for detecting certain types of analytes. The most commonly used detectors in GC are thermal conductivity detector (TCD), flame ionization detector (FID), and electron capture detector (ECD).
TCD is the earliest and most widely used detector that operates by measuring the changes in the thermal conductivity of the carrier gas. When a sample compound enters the detector,...
756
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

1.3K
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...
1.3K

You might also read

Related Articles

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

Sort by
Same author

Entropy-Based Human Activity Measure Using FMCW Radar.

Entropy (Basel, Switzerland)·2025
Same author

LPI Radar Waveform Recognition Based on Hierarchical Classification Approach and Maximum Likelihood Estimation.

Entropy (Basel, Switzerland)·2024
Same author

Automatic Depression Detection Using Smartphone-Based Text-Dependent Speech Signals: Deep Convolutional Neural Network Approach.

Journal of medical Internet research·2023
Same author

Single-Finger Neural Basis Information-Based Neural Decoder for Multi-Finger Movements.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2018
Same author

Development of Electrical Neural Stimulator Generating Periodic and Non-periodic Signals and Supporting Closed-loop Experimental System.

Experimental neurobiology·2018
Same author

Novel Methods for Measuring Depth of Anesthesia by Quantifying Dominant Information Flow in Multichannel EEGs.

Computational intelligence and neuroscience·2017
Same journal

Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.

Entropy (Basel, Switzerland)·2026
Same journal

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Entropy (Basel, Switzerland)·2026
Same journal

Information Geometry and Asymptotic Theory for SMML Estimators.

Entropy (Basel, Switzerland)·2026
Same journal

Correlation Entropy and Power-Law Kinetics.

Entropy (Basel, Switzerland)·2026
Same journal

Research on the Contagion of Systemic Financial Risk Under the Impact of Climate Risks-From the Perspective of Complex Networks and Machine Learning.

Entropy (Basel, Switzerland)·2026
Same journal

The Statistical-Mechanical Meaning of the Wave Function of Quantum Mechanics.

Entropy (Basel, Switzerland)·2026
See all related articles
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 Experiment Video

Updated: Oct 12, 2025

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.6K

Single-Channel FMCW-Radar-Based Multi-Passenger Occupancy Detection Inside Vehicle.

Heemang Song1, Hyun-Chool Shin1

  • 1Department of Software Convergence, Soongsil University, Seoul 06978, Korea.

Entropy (Basel, Switzerland)
|November 27, 2021
PubMed
Summary
This summary is machine-generated.

This study demonstrates effective multi-passenger occupancy detection in vehicles using frequency-modulated continuous-wave radar. Novel spectral power and Wiener entropy features accurately identify occupants based on physiological signals.

Keywords:
FMCW radarautomotive applicationsoccupancy detectionpassenger detectionradar signal processing

More Related Videos

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.6K
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

7.9K

Related Experiment Videos

Last Updated: Oct 12, 2025

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.6K
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.6K
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

7.9K

Area of Science:

  • Automotive Sensing
  • Biomedical Engineering
  • Signal Processing

Background:

  • Accurate vehicle occupancy detection is crucial for safety and efficiency.
  • Existing methods often rely on cameras or complex sensor arrays.
  • Radar-based sensing offers a privacy-preserving and robust alternative.

Purpose of the Study:

  • To develop and evaluate a novel method for multi-passenger occupancy detection using a single-channel FMCW radar.
  • To identify and quantify physiological signals indicative of human presence within a vehicle.
  • To assess the efficacy of proposed spectral features for occupancy classification.

Main Methods:

  • Utilized a single-channel frequency-modulated continuous-wave (FMCW) radar system.
  • Analyzed radar signal time-frequency spectrum to extract physiological characteristics.
  • Proposed spectral power and Wiener entropy as key features for detecting breathing and heartbeat.
  • Applied clutter removal and feature extraction for seats 1 and 2.
  • Employed linear discriminant analysis (LDA) and maximum likelihood estimation (MLE) for classification.

Main Results:

  • Spectral power and Wiener entropy effectively quantify physiological movements.
  • Feature distributions based on average means of power and Wiener entropy were established.
  • Successful classification of multi-passenger occupancy was achieved.
  • The proposed features demonstrated high effectiveness for occupancy detection.

Conclusions:

  • Single-channel FMCW radar is a viable technology for in-cabin occupancy detection.
  • Spectral power and Wiener entropy are promising features for identifying occupants via physiological signals.
  • The proposed method offers a robust and potentially cost-effective solution for vehicle occupancy sensing.