Wearable Sensor Data for Shoulder Activity During Functional Tasks

77.6 KB of lab data from a project determining the criterion validity of two portable, wearable sensors during a range of functional tasks. The dataset, authored by Peter Gill and last updated on 2026-05-28, is shared under a CC-BY-4.0 license on figshare. It addresses limitations of traditional clinical evaluations and self-reported questionnaires for measuring shoulder function.

Use Cases

• Validate wearable sensor accuracy for shoulder movement based on the described functional tasks.
• Compare continuous sensor-based measurements against periodic clinical assessments mentioned in the description.
• Investigate alternatives to self-reported questionnaires for shoulder function, addressing issues like memory recall and social desirability bias described.
• Develop models for assessing shoulder pathology or dysfunction using data from portable wearable technology.

Strengths

• Data is shared under a permissive CC-BY-4.0 license, facilitating reuse.
• The project specifically aims to validate wearable sensors, providing a focused use case.
• The 77.6 KB file size indicates a manageable dataset for initial exploration.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's small scale (77.6 KB) suggests it is likely a pilot or validation study with limited scope.

Provenance

Source

figshare, author Peter Gill.

Collection Method

Lab data collected during functional tasks using two portable wearable sensors.

Freshness

Last updated 2026-05-28 16:59:11; freshness should be verified.