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

Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

352
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. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
Time differentiation is...
352
Measuring Acceleration Due to Gravity01:12

Measuring Acceleration Due to Gravity

588
Consider a coffee mug hanging on a hook in a pantry. If the mug gets knocked, it oscillates back and forth like a pendulum until the oscillations die out.
A simple pendulum can be described as a point mass and a string. Meanwhile, a physical pendulum is any object whose oscillations are similar to a simple pendulum, but cannot be modeled as a point mass on a string because its mass is distributed over a larger area. The behavior of a physical pendulum can be modeled using the principles of...
588
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

374
A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
374
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

482
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...
482
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

418
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...
418

You might also read

Related Articles

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

Sort by
Same author

Convolutional Neural Network for Specimen-Invariant Structural Health Monitoring of FRC Under Flexural Loading.

Sensors (Basel, Switzerland)·2026
Same author

Optical Microscopy for High-Resolution IPMC Displacement Measurement.

Sensors (Basel, Switzerland)·2026
Same author

Application of CAD Systems in Breast Cancer Diagnosis Using Machine Learning Techniques: An Overview of Systematic Reviews.

Bioengineering (Basel, Switzerland)·2025
Same author

Exploring the Factors Influencing the Acceptance of IoT Applications in Food Packaging.

Foods (Basel, Switzerland)·2025
Same author

A Biologically Inspired Movement Recognition System with Spiking Neural Networks for Ambient Assisted Living Applications.

Biomimetics (Basel, Switzerland)·2024
Same author

Sensor-Driven Human-Robot Synergy: A Systems Engineering Approach.

Sensors (Basel, Switzerland)·2023

Related Experiment Video

Updated: Jul 15, 2025

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.7K

PIPTO: Precise Inertial-Based Pipeline for Threshold-Based Fall Detection Using Three-Axis Accelerometers.

Stavros N Moutsis1, Konstantinos A Tsintotas1, Antonios Gasteratos1

  • 1Department of Production and Management Engineering, Democritus University of Thrace, 12 Vas. Sophias, GR-671 32 Xanthi, Greece.

Sensors (Basel, Switzerland)
|September 28, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces PIPTO, a low-complexity fall detection pipeline using accelerometer data and threshold-based techniques. The open-source system accurately identifies falls and their time ranges, aiding elderly safety.

Keywords:
acceleration-based recognitionhuman fall detectionwearable device

More Related Videos

Author Spotlight: Innovations in iTUG Test for Enhanced Risk Assessment and Cognitive Insights
05:26

Author Spotlight: Innovations in iTUG Test for Enhanced Risk Assessment and Cognitive Insights

Published on: October 25, 2024

1.1K
Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform
06:31

Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform

Published on: August 4, 2022

3.1K

Related Experiment Videos

Last Updated: Jul 15, 2025

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.7K
Author Spotlight: Innovations in iTUG Test for Enhanced Risk Assessment and Cognitive Insights
05:26

Author Spotlight: Innovations in iTUG Test for Enhanced Risk Assessment and Cognitive Insights

Published on: October 25, 2024

1.1K
Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform
06:31

Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform

Published on: August 4, 2022

3.1K

Area of Science:

  • Biomedical Engineering
  • Gerontology
  • Computer Science

Background:

  • Falls are the second leading cause of death after traffic incidents, disproportionately affecting the elderly.
  • Existing fall detection methods utilize various sensors and techniques, including machine learning and heuristic-based approaches.
  • Combining heuristic techniques with machine learning models can reduce computational costs in fall detection systems.

Purpose of the Study:

  • To present a low-complexity pipeline for fall detection using a threshold-based technique.
  • To develop a system adaptable to various acceleration sensors and data frequencies.
  • To enable the detection of multiple falls within a time series and specify their temporal range.

Main Methods:

  • A threshold-based technique is applied to data from a three-axis accelerometer.
  • The system processes variable input lengths and detects falls based on the sum vector magnitude.
  • The developed framework, PIPTO, is implemented in Python and C.

Main Results:

  • High performance in fall detection was achieved on multiple datasets.
  • Sensitivity reached 90.40% on MMsys and 91.56% on KFall.
  • Specificity was recorded at 93.96% on MMsys and 85.90% on KFall.

Conclusions:

  • The proposed PIPTO pipeline offers a computationally efficient and accurate solution for fall detection.
  • The system's adaptability and open-source nature facilitate its adoption by the research community.
  • PIPTO contributes to enhanced safety for the elderly by providing reliable fall detection capabilities.