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          <dc:title>3D In-Air Signature Dataset</dc:title>
          <dc:creator>Jathavan Mahendrarajah (23074972)</dc:creator>
          <dc:creator>Vinojith Gunaratne (23075409)</dc:creator>
          <dc:creator>Abinesh Thaventhirarajah (23075418)</dc:creator>
          <dc:creator>Thanuja Ambegoda (23075433)</dc:creator>
          <dc:subject>Deep learning</dc:subject>
          <dc:subject>Neural networks</dc:subject>
          <dc:subject>Spatial data and applications</dc:subject>
          <dc:subject>Information systems user experience design and development</dc:subject>
          <dc:subject>Data and information privacy</dc:subject>
          <dc:subject>Multimodal analysis and synthesis</dc:subject>
          <dc:subject>In-Air Signature</dc:subject>
          <dc:subject>3D Signature</dc:subject>
          <dc:subject>Leap Motion Controller</dc:subject>
          <dc:subject>Signature Dataset</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This dataset contains 3D in-air hand signatures collected using the Leap Motion Controller 2. It includes annotated CSV files for 65 users, with 10 signature instances per user (total 650 instances). The data captures finger, palm, and arm positions, velocities, rotations, etc. making it suitable for Intermittent Spatial Segmentation research. It can be extended for In-Air Signature verification related researches. &lt;/p&gt;&lt;p dir="ltr"&gt;All data is anonymized - use ethically.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-30T18:18:29Z</dc:date>
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