Physical Activity Intensity Prediction Equations for Accelerometer Data

Figshare hosts a dataset of new prediction equations for physical activity intensity, measured in both absolute METs and relative VO2peak percentages. The dataset was authored by Nicole Freene and last updated on May 28, 2026. The file is 5.5 KB in size and is available in XLS format under a CC-BY-4.0 license.

Use Cases

• Develop accelerometer-based physical activity classifiers based on the provided METs prediction equations.
• Estimate relative exercise intensity (%VO2peak) for individuals based on the provided prediction equations.
• Validate new wearable sensor algorithms against established METs and VO2peak prediction models.

Strengths

• Dataset is small (5.5 KB), enabling quick download and inspection.
• The CC-BY-4.0 license permits broad reuse and modification.
• Specific focus on both absolute (METs) and relative (%VO2peak) intensity prediction.

Limitations

• Row count and specific column definitions are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.
• The dataset's small size suggests it contains equations or coefficients rather than large-scale measurement data.

Provenance

Source

figshare

Freshness

Last updated 2026-05-28 17:40:33; freshness should be verified.