Validation Data for a Garment-Integrated Printed Capacitive Pressure Sensor

Maria Papaefstathiou's dataset supports a proof-of-concept feasibility study for a direct-ink-writing printed capacitive textile pressure sensor. It contains measurements from one participant under wearable pressure-monitoring conditions, organized across two experimental days with five trials each. The 3.3 MB collection includes Excel files for raw data, a text file for statistical analysis, and an Origin project file for visualization.

Use Cases

• Assessing sensor reliability and repeatability based on the comparison between two experimental days.
• Validating a micro-dispensing fabrication technique for garment-integrated sensors based on the described proof-of-concept study.
• Analyzing wearable pressure-monitoring performance based on the participant trial data.
• Reproducing statistical comparisons and box plots based on the provided analysis files.

Strengths

• Includes raw measurement data from two separate experimental days, allowing for repeatability analysis.
• Provides accompanying files for statistical analysis and visualization (Origin project and text file).
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Row count and column-level documentation are unknown, which may limit suitability assessment.
• Data scale is limited to a 3.3 MB collection from a single-participant proof-of-concept study.
• Description metadata is limited; actual data structure and quality require manual inspection after download.

Provenance

Source

figshare, author Maria Papaefstathiou.

Collection Method

Measurements from a proof-of-concept feasibility study involving one participant.

Time Range

Experimental days are specified, but the overall study period is not provided.

Freshness

Last updated 2026-05-03 15:39:15; freshness should be verified.

Geography

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