Biometric Gait Data from Mobile Phone Sensors for a Two-Day Training Set

A 3.9 GB repository related to a biometric gait system publication. It contains files for minimal reproduction of experiments on the SIGNET data corpus and a notebook with results. The dataset was authored by aleksander sawicki and last updated on 2026-05-27.

Use Cases

• Training gait recognition models based on motion sensor data mentioned in the description.
• Reproducing biometric system experiments based on the provided SIGNET corpus files.
• Benchmarking mobile phone sensor-based activity classification algorithms.

Strengths

• Dataset size is 3.9 GB, indicating a medium-scale collection.
• Includes files for minimal reproduction of experiments, supporting reproducibility.
• Released under a permissive CC-BY-4.0 license.

Limitations

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

Provenance

Source

figshare

Collection Method

Likely collected via motion sensors embedded in a mobile phone.

Freshness

Last updated 2026-05-27 17:44:58; freshness should be verified.