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Related Concept Videos

Kinematic Equations: Problem Solving01:15

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Related Experiment Video

Updated: Jul 15, 2026

Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments
08:45

Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments

Published on: March 28, 2018

Complete 3D kinematics of upper extremity functional tasks.

Carolien J van Andel1, Nienke Wolterbeek, Caroline A M Doorenbosch

  • 1MOVE Institute for Human Movement Research, Amsterdam, The Netherlands. cj.vanandel@vumc.nl

Gait & Posture
|April 27, 2007
PubMed
Summary

This study developed a standardized 3D kinematic analysis protocol for upper extremity (UX) movement, including hand orientation, for clinical use. Findings provide normative data for functional tasks, paving the way for a UX analysis report.

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Last Updated: Jul 15, 2026

Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments
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Area of Science:

  • Biomechanics
  • Clinical Kinematics
  • Human Movement Analysis

Background:

  • 3D kinematic analysis of upper extremity (UX) movement offers clinical potential but lacks standardized protocols.
  • Existing methods face challenges due to joint range of motion and anatomical complexity.
  • A standardized protocol focusing on functional tasks and hand orientation is needed.

Purpose of the Study:

  • To develop a standardized method for unconstrained UX movement analysis, incorporating hand orientation.
  • To establish normative values for a set of functional upper limb tasks.
  • To create a foundation for a clinical 'UX analysis report'.

Main Methods:

  • Ten healthy subjects performed four activities of daily living (ADL) and six active range of motion (ROM) tasks.
  • 3D kinematics were used to analyze joint angles of the wrist, elbow, shoulder, and scapula.
  • Minimum and maximum joint angles were determined from ROM tasks, and trajectories analyzed during ADL.

Main Results:

  • Characteristic movement trajectories were identified for the analyzed ADL tasks.
  • Generally small standard deviations indicated consistent movement patterns.
  • Obtained ROM values align with existing literature, supporting the protocol's validity.

Conclusions:

  • The developed protocol provides a standardized approach to UX movement analysis, including hand orientation.
  • Normative data from this study can serve as a basis for clinical UX analysis reports.
  • This work facilitates future comparisons with pediatric and pathological movement patterns.