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

Velocity and Position by Graphical Method01:34

Velocity and Position by Graphical Method

10.7K
Velocity and position can be calculated from the known function of acceleration as a function of time. The total area under the acceleration-time graph and the velocity-time graph gives the change in velocity and position, respectively. In the case of an airplane, its acceleration is tracked using the inertial navigation system. The pilot provides the input of the airplane's initial position and velocity before takeoff. The inertial navigation system then uses the acceleration data to...
10.7K
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

977
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...
977
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

616
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
616
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

783
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...
783
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

808
A stroke engine has a slider-crank mechanism that 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.
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
808

You might also read

Related Articles

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

Sort by
Same author

Oridonin protects the lung against hyperoxia-induced injury in a mouse model.

Undersea & hyperbaric medicine : journal of the Undersea and Hyperbaric Medical Society, Inc·2017
Same author

Changes in angiotensin II and angiotensin-converting enzyme of different tissues after prolonged hyperoxia exposure.

Undersea & hyperbaric medicine : journal of the Undersea and Hyperbaric Medical Society, Inc·2017
Same author

Sarcomatoid Renal Cell Carcinoma Has a Distinct Molecular Pathogenesis, Driver Mutation Profile, and Transcriptional Landscape.

Clinical cancer research : an official journal of the American Association for Cancer Research·2017
Same author

Cell type-selective imaging and profiling of newly synthesized proteomes by using puromycin analogues.

Chemical communications (Cambridge, England)·2017
Same author

A cheat sheet to navigate the complex maze of pharmaceutical exclusivities in Europe.

Pharmaceutical patent analyst·2017
Same author

Hydroxamic Acids as Chemoselective (ortho-Amino)arylation Reagents via Sigmatropic Rearrangement.

Angewandte Chemie (International ed. in English)·2017
Same journal

Relation DETR+: Exploring Explicit Position Relation Prior for Dense Prediction.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

CAFE: Cross-View Adaptive Fusion and Cluster Center Enhancement for Robust Multi-View Clustering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Learning Shape Anchors for Holistic Indoor Scene Understanding.

IEEE transactions on pattern analysis and machine intelligence·2026
See all related articles

Related Experiment Video

Updated: Feb 18, 2026

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

1.3K

Online gesture spotting from visual hull data.

Bo Peng1, Gang Qian

  • 1School of Arts, Media and Engineering, 699 S. Mill Ave., Suite 395, PO Box 878709, Tempe, AZ 85281, USA. bpeng3@asu.edu

IEEE Transactions on Pattern Analysis and Machine Intelligence
|November 17, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a robust framework for online full-body gesture spotting using view-invariant pose features and hidden Markov models (HMMs). The method effectively rejects non-gesture movements, improving accuracy on the IXMAS dataset.

More Related Videos

Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication
07:18

Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication

Published on: January 26, 2024

1.3K
Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus
05:57

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus

Published on: April 8, 2019

7.3K

Related Experiment Videos

Last Updated: Feb 18, 2026

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

1.3K
Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication
07:18

Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication

Published on: January 26, 2024

1.3K
Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus
05:57

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus

Published on: April 8, 2019

7.3K

Area of Science:

  • Computer Vision
  • Human-Computer Interaction
  • Machine Learning

Background:

  • Gesture spotting from visual hull data is challenging due to variations in viewpoint and non-gesture movements.
  • Existing methods often struggle with real-time processing and robustly handling extraneous motion.

Purpose of the Study:

  • To develop a robust framework for online full-body gesture spotting from visual hull data.
  • To introduce view-invariant pose features and a systematic approach for non-gesture movement rejection.

Main Methods:

  • Utilized view-invariant pose features as observations for training hidden Markov models (HMMs).
  • Developed a method for automatic detection and modeling of non-gesture patterns for outlier rejection.
  • Applied the framework to continuous movement data streams.

Main Results:

  • Demonstrated the view-invariance property of the extracted pose features for both trained and unseen poses.
  • Showcased the efficacy of using non-gesture models for robust outlier rejection.
  • Achieved superior gesture spotting results on the IXMAS dataset compared to state-of-the-art methods.

Conclusions:

  • The proposed framework offers a robust and accurate solution for online full-body gesture spotting.
  • View-invariant features and non-gesture modeling significantly enhance gesture recognition performance.
  • The method demonstrates practical applicability and outperforms existing approaches.