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 Experiment Videos

A phase space spline smoother for fitting trajectories.

Christopher H Lee1

  • 1Mitsubishi Electric Research Laboratories, Cambridge, MA 02139, USA. lee@merl.com

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|September 17, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Continued range expansion of Aedes albopictus (Diptera: Culicidae) in Iowa, United States.

Journal of medical entomology·2026
Same author

Ancient origin of an urban underground mosquito.

Science (New York, N.Y.)·2025
Same author

Ancient origin of an urban underground mosquito.

bioRxiv : the preprint server for biology·2025
Same author

Rapid bioreactor process optimization and scale-up for production of a measles vector COVID-19 vaccine candidate.

Biotechnology progress·2025
Same author

Abundance, distribution, and dynamics of Anopheles species (Diptera: Culicidae) in Iowa, United States.

Journal of medical entomology·2024
Same author

Structure of orthoreovirus RNA chaperone σNS, a component of viral replication factories.

Nature communications·2024
Same journal

Strategic Ability Updating in Concurrent Games by Coalitional Commitment.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2015
Same journal

Meta-Analysis of the First Facial Expression Recognition Challenge.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
Same journal

Adjustable model-based fusion method for multispectral and panchromatic images.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
Same journal

Face Feature Weighted Fusion Based on Fuzzy Membership Degree for Video Face Recognition.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
Same journal

A New Adaptive Fast Cellular Automaton Neighborhood Detection and Rule Identification Algorithm.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
Same journal

Human-arm-and-hand-dynamic model with variability analyses for a stylus-based haptic interface.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
See all related articles

This study introduces a phase space spline smoother for fitting physical motion trajectories. It accurately models dynamic systems by simultaneously fitting position and velocity data from multiple examples.

Area of Science:

  • Computational physics
  • Data analysis
  • Robotics

Background:

  • Modeling dynamic physical systems requires considering both position and velocity.
  • Conventional spline smoothers often struggle to incorporate velocity information effectively.
  • Accurate trajectory fitting is crucial for analyzing and replicating physical motions.

Purpose of the Study:

  • To present a novel phase space spline smoother.
  • To enable simultaneous fitting of position and velocity data for improved trajectory analysis.
  • To provide a robust method for modeling dynamic physical motions.

Main Methods:

  • Development of a phase space spline smoother algorithm.
  • Simultaneous fitting of position and velocity data.

Related Experiment Videos

  • Detailed computational procedure including variance estimation, data preprocessing, multidimensional smoothing, and cross-validation.

    • Main Results:

    • The phase space spline smoother effectively fits trajectories using both position and velocity.
    • Demonstrated successful application on a dataset of handwriting motions.
    • Provides practical guidelines for implementation and parameter selection.

    Conclusions:

    • The phase space spline smoother offers a significant advancement for analyzing dynamic physical motions.
    • This method enhances trajectory fitting accuracy by incorporating velocity information.
    • The approach is versatile and applicable to various multidimensional datasets.