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

One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

624
In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
624
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

522
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
522
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

639
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
639
Inertial Frames of Reference01:03

Inertial Frames of Reference

8.2K
Newton’s first law is usually considered to be a statement about reference frames. It provides a method for identifying a special type of reference frame: the inertial reference frame. In principle, we can make the net force on a body zero. If its velocity relative to a given frame is constant, then that frame is said to be inertial. So, by definition, an inertial reference frame is a reference frame where Newton's first law holds valid. Newton's first law applies to objects with...
8.2K
Centroid of a Body: Problem Solving01:03

Centroid of a Body: Problem Solving

1.5K
The centroid of a body is a crucial concept in engineering and physics. Finding the centroid of a body can help determine its stability, its balance point, and even its design. In this context, consider a thin wire bent in the form of a quarter circular arc. Polar coordinates are used to calculate the centroid. The wire is first divided into small differential elements of a length equal to the radius multiplied by the differential angle.
The x-coordinates and y-coordinates of each element's...
1.5K
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

4.8K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
4.8K

You might also read

Related Articles

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

Sort by
Same author

Vibration-Based Non-Contact Activity Classification for Home Cage Monitoring Using a Tuned-Beam IMU Sensing Device.

Sensors (Basel, Switzerland)·2025
Same author

Virtual MOS Sensor Array Design for Ammonia Monitoring in Pig Barns.

Sensors (Basel, Switzerland)·2025
Same author

A Vibration Sensing Device Using a Six-Axis IMU and an Optimized Beam Structure for Activity Monitoring.

Sensors (Basel, Switzerland)·2023
Same author

Non-Contact Activity Monitoring Using a Multi-Axial Inertial Measurement Unit in Animal Husbandry.

Sensors (Basel, Switzerland)·2022
Same author

Visual Sensor Fusion Based Autonomous Robotic System for Assistive Drinking.

Sensors (Basel, Switzerland)·2021
Same author

Performance Analysis of a Head and Eye Motion-Based Control Interface for Assistive Robots.

Sensors (Basel, Switzerland)·2020

Related Experiment Video

Updated: Nov 10, 2025

Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior
07:09

Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior

Published on: November 14, 2018

11.2K

Towards Robust Robot Control in Cartesian Space Using an Infrastructureless Head- and Eye-Gaze Interface.

Lukas Wöhle1, Marion Gebhard1

  • 1Group of Sensors and Actuators, Department of Electrical Engineering and Applied Sciences, Westphalian University of Applied Sciences, 45877 Gelsenkirchen, Germany.

Sensors (Basel, Switzerland)
|April 3, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a lightweight, head-worn interface for hands-free robot control using head and eye-gaze. It achieves robust, real-time teleoperation with high accuracy, enabling full six degree of freedom control.

Keywords:
MARG-sensorsdata fusiongaze controlhands-free interfacehuman robot collaborationmultisensory interfacepose estimationrobot control in cartesian space

More Related Videos

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
11:01

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Published on: November 24, 2015

13.4K
Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
05:12

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

2.3K

Related Experiment Videos

Last Updated: Nov 10, 2025

Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior
07:09

Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior

Published on: November 14, 2018

11.2K
SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
11:01

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Published on: November 24, 2015

13.4K
Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
05:12

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

2.3K

Area of Science:

  • Robotics
  • Human-Computer Interaction
  • Sensor Fusion

Background:

  • Robot teleoperation often requires complex interfaces or manual control.
  • Existing head-gaze interfaces can be susceptible to disturbances and lack full six degree of freedom (DoF) control.

Purpose of the Study:

  • To develop a lightweight, infrastructureless head-worn interface for robust, real-time robot control in Cartesian space.
  • To enable precise robot end effector (EFF) positioning and orientation control using head- and eye-gaze.
  • To achieve full six DoF teleoperation through a hands-free mechanism.

Main Methods:

  • Integration of ORB-SLAM 2 visual simultaneous localization and mapping (SLAM) with a Magnetic Angular rate Gravity (MARG)-sensor filter.
  • Dynamic data fusion switching between magnetic, inertial, and visual heading sources for robust orientation estimation.
  • Implementation of a head motion mapping technique for end effector orientation control.

Main Results:

  • The interface achieved a mean Euclidean error of 19.0±15.7 mm for head-gaze and 27.4±21.8 mm for eye-gaze at 0.3-1.1 m.
  • Demonstrated reliable and robust pose estimation through experimental proof of concept.
  • Successfully enabled hands-free, full six DoF robot teleoperation.

Conclusions:

  • The proposed head-worn interface provides a precise and robust solution for robot teleoperation.
  • The dynamic data fusion strategy enhances performance under various environmental disturbances.
  • This interface offers a practical approach for advanced hands-free robot control applications.