Body Energy and Angular Momentum Data from Drop-Like Gait Perturbations

Original data from a study on the management of body energy and frontal plane angular momentum during unpredictable and adapted drop-like gait perturbations. The dataset is provided under the data availability requirements of the publisher and was last updated on May 14, 2026. Christos Theodorakis is the author.

Use Cases

• Analyze energy management strategies during gait perturbations based on the described body energy metrics.
• Model frontal plane angular momentum control in response to unexpected disturbances based on the study's focus.
• Train machine learning models to predict human postural responses to gait perturbations based on biomechanical data.
• Compare adapted versus unpredictable perturbation responses based on the experimental conditions mentioned in the title.

Strengths

• Original study data provided under publisher-mandated data availability requirements.
• Dataset is openly licensed under CC-BY-4.0.
• File size is 141.5 KB, indicating a focused and manageable dataset.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Original data from a biomechanics study, likely collected via motion capture and force plates.

Freshness

Last updated 2026-05-14 14:50:25; freshness should be verified.