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Related Concept Videos

Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

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

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Related Experiment Video

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Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

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Published on: April 21, 2023

MotionExplorer: exploratory search in human motion capture data based on hierarchical aggregation.

Jürgen Bernard1, Nils Wilhelm, Björn Krüger

  • 1Fraunhofer Institute for Computer Graphics Research Darmstadt.

IEEE Transactions on Visualization and Computer Graphics
|September 21, 2013
PubMed
Summary
This summary is machine-generated.

MotionExplorer is a new system for searching and analyzing large human motion capture datasets. It provides visual tools to help researchers efficiently explore motion data for applications in medicine, sports, and animation.

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Combining Multiple Data Acquisition Systems to Study Corticospinal Output and Multi-segment Biomechanics

Published on: January 9, 2016

Area of Science:

  • Computer Science
  • Human-Computer Interaction
  • Data Visualization

Background:

  • Human motion capture data is complex multivariate time series data crucial for fields like medicine, sports, and animation.
  • Analyzing and synthesizing motion data, including states and transitions, presents challenges with large datasets.
  • Existing methods lack effective visual summaries and drill-down capabilities for large-scale motion data exploration.

Purpose of the Study:

  • To develop an exploratory search and analysis system, MotionExplorer, for large human motion capture data collections.
  • To address the need for visual retrieval and analysis support in handling complex motion data.
  • To enhance the efficiency and usability of working with human motion data for researchers.

Main Methods:

  • Developed MotionExplorer as an exploratory search system utilizing interactive aggregation and visualization of motion states.
  • Implemented an overview-first visualization approach enabling query-by-example search for motion sub-sequences.
  • Conducted a summative field study and a laboratory design study with domain experts to refine the system.

Main Results:

  • MotionExplorer facilitates efficient search and exploration of human motion capture data through intuitive visual interfaces.
  • The system supports interactive navigation, data exploration, and search based on visualized motion states.
  • User studies confirmed MotionExplorer's ability to efficiently support researchers in human motion synthesis and analysis.

Conclusions:

  • MotionExplorer provides a robust and usable solution for exploring large human motion capture datasets.
  • The system significantly improves the ability of researchers to search and analyze motion data.
  • Interactive visualization and aggregation are key to effectively managing and understanding complex motion capture data.