Hammer Throw Wrist Path Radius Data Validated Against Optical Motion Capture

Five throws performed by an experienced male hammer thrower provide raw and processed data for validating a wrist-mounted IMU method. The dataset includes 120 Hz data from Movella DOT sensors on the left wrist and right foot, alongside VICON optical motion capture data with 15 body markers. MATLAB files contain computed wrist path radii from four VICON-based methods and the IMU-based estimate.

Use Cases

• Validate inertial measurement unit (IMU) algorithms for estimating wrist path radius based on Euler angles and tri-axial sensor data.
• Compare motion capture-derived wrist path radii using geometric, kinematic, Lee, and centroid-based methods.
• Segment hammer throw turns for biomechanical analysis based on included event timing data.
• Analyze the relationship between foot and wrist sensor data during a complex throwing motion.

Strengths

• Includes synchronized data from two gold-standard systems: VICON optical motion capture and Movella DOT IMUs, sampled at 120 Hz.
• Provides processed results from four distinct VICON-based calculation methods for direct comparison with the novel IMU method.
• Contains data from five complete throws by an experienced athlete, offering multiple trials for analysis.

Limitations

• Data is from a single athlete, limiting generalizability to other throwers.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale machine learning.

Provenance

Source

e-cienciaDatos Harvested Dataverse

Collection Method

Data collected from a single experienced male hammer thrower using synchronized VICON motion capture and Movella DOT IMU sensors.

Freshness

Last updated 2026-06-07 04:10:27; freshness should be verified.