Hand Motion Catalog of Human Center-Out Transport Trajectories Measured Redundantly in 3D Task-Space

Area of Science:

• Biomechanics
• Human Motor Control
• Medical Technology

Background:

• Identifying movement pathology requires extensive data for motion modeling and variability analysis.
• Existing methods often lack standardization and transferability.
• There is a need for reproducible and portable systems for movement analysis.

Purpose of the Study:

• To introduce a systematic dataset of 3D human hand transport movement trajectories.
• To establish a standardized and reproducible data collection setting.
• To facilitate the development of portable, low-cost movement analysis tools.

Main Methods:

• Collected 3D center-out task-space trajectories of hand transport movements.
• Utilized a standardized setup with a unified start position and nine target locations.
• Automated data recording of 10 trials per participant per target location.
• Employed both optical tracking systems and a single Inertial Measurement Unit (IMU) sensor for redundant data capture.
• Determined handedness using the Edinburgh Handedness Inventory (EHI).

Main Results:

• Generated a dataset of 5580 movement trajectories from 31 participants (ages 21-78) without known movement disorders.
• The dataset includes 90 movement trajectories per hand.
• Demonstrated the reproducibility and transferability of the standardized data collection setup.
• Highlighted the IMU sensor as a portable, low-cost alternative to stationary systems.

Conclusions:

• The presented dataset provides a robust foundation for motion modeling and variability analysis in human hand movements.
• The standardized methodology ensures data reliability and facilitates transferability.
• The integration of IMU sensors offers a promising avenue for developing accessible and efficient tools for medical evaluation and movement disorder identification.