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MOTOM toolbox: MOtion Tracking via Optotrak and Matlab
Zoltan Derzsi1, Robert Volcic1
1Department of Psychology, New York University Abu Dhabi, United Arab Emirates.
This Matlab toolbox simplifies controlling the Northern Digital Optotrak motion capture system. It automates setup for efficient, accurate tracking of marker positions and body orientation.
Area of Science:
- Biomechanics
- Robotics
- Human-Computer Interaction
Background:
- Accurate motion capture is crucial for various scientific and engineering fields.
- Existing systems often require complex setup and integration.
- Northern Digital's Optotrak system offers advanced motion tracking capabilities.
Purpose of the Study:
- To develop a user-friendly Matlab toolbox for controlling the Optotrak system.
- To streamline data collection and analysis from the Optotrak system.
- To facilitate the integration of Optotrak motion capture into diverse experimental setups.
Main Methods:
- Development of a Matlab toolbox with automated installation, setup, and alignment procedures.
- Implementation of functionalities for controlling the Optotrak system and collecting marker position data.
- Support for grouping markers into a single body to obtain simultaneous position and orientation data.
Main Results:
- The toolbox enables automated control and data acquisition from the Optotrak system.
- Simultaneous tracking of individual marker positions and overall body kinematics (position, orientation) is achieved.
- The system is compatible with recent 64-bit computers and existing Matlab toolboxes.
Conclusions:
- The developed Matlab toolbox significantly simplifies the use of the Optotrak motion capture system.
- Automated procedures reduce human interaction, enhancing experimental efficiency.
- This tool empowers researchers to integrate advanced motion capture into their experiments with ease.
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