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

Comparing derived and acquired acceleration profiles: 3-D optical electronic data analyses.

Steve Hansen1, Digby Elliot, Michael A Khan

  • 1Department of Kinesiology, McMaster University, Hamilton, Ontario, Canada. hansensd@mcmaster.ca

Behavior Research Methods
|January 11, 2008
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

"It's not Fair!": Multisensory reaction time differences between D/deaf and hearing populations in athletics starting systems.

Psychology of sport and exercise·2025
Same author

Why the Environmental Data & Governance Initiative is archiving public environmental data.

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

The influence of foreperiod duration on the preparation and control of sequential aiming movements.

Quarterly journal of experimental psychology (2006)·2023
Same author

Testing anxiety's effect on movement planning and correction: Online upper-limb corrections are not completely automatic.

Human movement science·2022
Same author

The multiple process model of goal-directed aiming/reaching: insights on limb control from various special populations.

Experimental brain research·2020
Same author

On Whether Task Experience of the Peer Differentially Impacts Feedback Scheduling and Skill Acquisition of a Learner.

Frontiers in psychology·2019
Same journal

The Rhythm Reproduction Task for children: A psychometric examination.

Behavior research methods·2026
Same journal

QualGames: A Qualtrics implementation and a database of behavioral game theory tasks.

Behavior research methods·2026
Same journal

PyLossless: A non-destructive EEG processing pipeline.

Behavior research methods·2026
Same journal

"It makes sense to me": Examining data file column names in the visual cognitive literature.

Behavior research methods·2026
Same journal

Planned missingness in intensive longitudinal studies: Extensions and comparisons of multiform designs.

Behavior research methods·2026
Same journal

A validity-guided workflow for robust large language model research in psychology.

Behavior research methods·2026
See all related articles

Analyzing three-dimensional (3-D) movement data requires careful consideration of data reduction procedures. This study found that calculating resultant position and total distance traveled before differentiation minimizes errors in 3-D motion analysis.

Area of Science:

  • Biomechanics
  • Human Movement Analysis
  • Motor Control

Background:

  • Technological advancements enable high-fidelity 3-D human movement recording.
  • Traditional analysis of 3-D data often involves independent axis analysis, which can introduce significant errors.
  • Accurate data reduction is crucial for reliable interpretation of movement trajectories.

Purpose of the Study:

  • To identify optimal post hoc and real-time data reduction methods for three-dimensional (3-D) optoelectronic data.
  • To evaluate different procedures for calculating acceleration profiles from movement data.
  • To minimize errors in the analysis of manual aiming movements.

Main Methods:

  • Recorded rapid, goal-directed movements using Optotrak and triaxial accelerometers.

Related Experiment Videos

  • Applied second-order Butterworth filters (6-24 Hz low-cut) to position data.
  • Compared two methods for deriving acceleration profiles: double differentiation of individual axes vs. differentiation after calculating resultant position and total distance.

    • Main Results:

    • The root mean square error (RMSE) was used to quantify differences between derived and acquired acceleration profiles.
    • Data reduction procedures incorporating total distance traveled before differentiation yielded the lowest RMSE.
    • This method proved superior for accurately representing the overall movement trajectory.

    Conclusions:

    • The method of calculating resultant position and total distance traveled prior to double differentiation is recommended for 3-D movement data analysis.
    • This approach reduces analytical error compared to independent axis differentiation.
    • Findings are critical for researchers analyzing 3-D kinematic data, both in real-time and post hoc.