Balen, Nicolas Van and Ball, Christopher and Wang, Haining (2017) Analysis of Targeted Mouse Movements for Gender Classification. EAI Endorsed Transactions on Security and Safety.
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Abstract
Gender is one of the essential characteristics of personal identity that is often misused by online impostors for malicious purposes. This paper proposes a naturalistic approach for identity protection with a specific focus on using mouse biometrics to ensure accurate gender identification. Our unde
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 11:04 |
| Last Modified: | 12 Apr 2026 08:23 |
| URI: | http://eprints.eai.eu/id/eprint/16748 |
