Jove
Visualize
Contact Us

Related Concept Videos

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

137
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...
137
Control Systems: Applications01:25

Control Systems: Applications

686
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
686
PD Controller: Design01:26

PD Controller: Design

312
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
312
Pulse rhythm01:30

Pulse rhythm

886
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
886
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

155
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...
155
Feedback control systems01:26

Feedback control systems

368
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
368

You might also read

Related Articles

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

Sort by
Same author

Wearable Biosensor Technology in Education: A Systematic Review.

Sensors (Basel, Switzerland)·2024
Same author

Implementation of a Real-Time Brain-to-Brain Synchrony Estimation Algorithm for Neuroeducation Applications.

Sensors (Basel, Switzerland)·2024
Same author

Self-Diagnosis of SARS-CoV-2 from Saliva Samples at Home: Isothermal Amplification Enabled by Do-It-Yourself Portable Incubators and Laminated Poly-ethyl Sulfonate Membranes.

Diagnostics (Basel, Switzerland)·2024
Same author

Stress Response Analysis via Dynamic Entropy in EEG: Caregivers in View.

International journal of environmental research and public health·2023
Same author

Predictive Modeling of Soft Stretchable Nanocomposites Using Recurrent Neural Networks.

Polymers·2022
Same author

Characterization System for Heat-Energy to Electric-Energy Conversion from Concrete by Means of a Thermoelectric Module.

Sensors (Basel, Switzerland)·2022
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: Aug 13, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.3K

Vehicle and Driver Monitoring System Using On-Board and Remote Sensors.

Andres E Campos-Ferreira1, Jorge de J Lozoya-Santos1, Juan C Tudon-Martinez1

  • 1School of Engineering and Science, Tecnologico de Monterrey, Av. E Garza Sada 2501, Monterrey 64849, Mexico.

Sensors (Basel, Switzerland)
|January 21, 2023
PubMed
Summary

This study introduces an integrated system to monitor drivers and vehicles, analyzing their interactions to improve performance. The system accurately predicts fuel consumption, emissions, and driving style, revealing correlations between driver health and traffic conditions.

Keywords:
ADASdriver monitoringdriving styleemissionsfuel consumption

More Related Videos

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.5K
Home-Based Monitor for Gait and Activity Analysis
07:24

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

6.8K

Related Experiment Videos

Last Updated: Aug 13, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.3K
Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.5K
Home-Based Monitor for Gait and Activity Analysis
07:24

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

6.8K

Area of Science:

  • Automotive Engineering
  • Environmental Science
  • Biomedical Engineering

Background:

  • Existing driver and vehicle monitoring systems often lack integration and focus on individual components.
  • There is a need for a comprehensive system that analyzes the interplay between driver behavior, health, and vehicle performance.

Purpose of the Study:

  • To develop and validate an integrated monitoring system for drivers and vehicles.
  • To analyze the interactions between driver characteristics (health, style) and vehicle performance (emissions, fuel consumption).

Main Methods:

  • Combined on-board and remote sensors with algorithms for estimating emissions, fuel consumption, driving style, and driver health.
  • Utilized Principal Component Analysis (PCA) to reduce data dimensionality for Bluetooth transmission.
  • Implemented the system on a mobile application for experimental validation with different drivers and routes.

Main Results:

  • The system accurately predicts fuel consumption (84%), polluting emissions (89%), and driving style (89%).
  • Significant correlations were found between the driver's heart condition and vehicular traffic patterns.
  • Demonstrated the influence of the driver on vehicle performance and vice versa within an interactive environment.

Conclusions:

  • The integrated system offers a novel approach to understanding driver-vehicle dynamics.
  • The findings highlight the importance of considering driver health and behavior in vehicle performance optimization.
  • The system's modular design and use of classical algorithms make it easily configurable and replicable.