Fileset for the Leap Motion experiment performed at UCP. The data was contributed by author Jorge C. S. Cardoso and is available under an Open Access (green) license. The dataset's specific size, row count, and update date are not provided.
Use Cases
- Train gesture recognition models based on raw sensor data from the Leap Motion device.
- Benchmark analysis scripts for processing 3D hand-tracking data.
- Reproduce experimental results from the UCP Leap Motion study.
Strengths
- Includes analysis scripts, which may aid in reproducibility.
- Available under an Open Access (green) license, facilitating reuse.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- Jorge C. S. Cardoso via paperswithcode
- Collection Method
- Likely collected from a controlled experiment using a Leap Motion device.