The Utah Manipulation and Locomotion of Large Objects (MeLLO) Data Library

Area of Science:

• Biomechanics
• Human-Computer Interaction
• Robotics

Background:

• Understanding human interaction with objects is crucial for fields like robotics, ergonomics, and rehabilitation.
• Existing datasets often lack comprehensive motion and haptic data for diverse, real-world object manipulation tasks.

Purpose of the Study:

• To introduce a novel data library detailing human interaction with medium- to large-sized everyday objects.
• To provide researchers with synchronized motion capture and haptic feedback data for biomechanical analysis.

Main Methods:

• Collected motion capture data for human and object movement.
• Acquired force, torque, and inertial measurement unit (IMU) data for haptic interaction.
• Developed data processing techniques for synchronization, biomechanical derivation, and trial segmentation.

Main Results:

• The library includes data for objects like boxes, luggage, walkers, shopping carts, wheelbarrows, and doors.
• Demonstrated data processing examples, including joint range of motion extraction and comparative analysis of walking with and without assistive devices.
• Provided analysis of wheelbarrow lifts, detailing knee motion, object acceleration, and force/torque readings.

Conclusions:

• The data library offers a valuable resource for studying human-object interaction in everyday scenarios.
• The processed data enables detailed biomechanical analysis, including joint kinematics and dynamics.
• The database is publicly available, facilitating further research and development in related fields.