Used Mokka for Windows?


Editors’ Review

Download.com staff
Mokka is a specialized tool for movement science, enabling users to read, edit, write, and visualize motion capture data. It supports multiple biomechanics file formats and features robust 3D timeseries analysis for kinematic and kinetic research.
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Mokka 0/1
  • Pros

    • Reads, edits, writes, and visualizes motion capture data.
    • Compatible with several standard biomechanics file formats.
    • 3D perspective view displays markers, force platforms, and segments.
    • Drag and drop feature allows easy stacking of plotted data.
    • Displays synchronized or unsynchronized acquisition video with delay adaptation.
  • Cons

    • Real time data acquisition support is not specified.
    • Lacks mention of custom report generation capabilities.
    • Limited detail regarding data export format options.
    • Scripting or batch processing functionality is not detailed.

Used Mokka for Windows?


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Full Specifications

GENERAL
Release
Latest update
Version
0.6
OPERATING SYSTEMS
Platform
Windows
Operating System
  • Windows 7
  • Windows 10
  • Windows Vista
  • Windows XP
Additional Requirements
None
POPULARITY
Total Downloads
607
Downloads Last Week
4

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Developer’s Description

Read, edit, write, and visualize motion capture data.
Mokka is especially designed for movement science applications like gait analysis, biomechanical research, and sport analysis. Mokka is compatible with several file formats used in biomechanics. The perspective view displays timeseries data in 3D such as markers, force platforms and segments. Mokka can easily stack the plotted data by a simple drag and drop. Plot analog data in a collapsed way to easily compare them. Zoom from different way to analyze the information of interest. Several options in the 3D views are available to improve the user experience to better understand the kinematic and the kinetic of the acquisition. Display synchronized and unsynchronized video. Adapt easily the delay between the loaded acquisition and each video.

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