Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Lohr, Dillon J."'
Previous studies have shown that eye movement data recorded at 1000 Hz can be used to authenticate individuals. This study explores the effectiveness of eye movement-based biometrics (EMB) by utilizing data from an eye-tracking (ET)-enabled virtual r
Externí odkaz:
http://arxiv.org/abs/2405.03287
We present an extensive, in-depth analysis of the eye tracking capabilities of the Meta Quest Pro virtual reality headset using a dataset of eye movement recordings collected from 78 participants. In addition to presenting classical signal quality me
Externí odkaz:
http://arxiv.org/abs/2403.07210
What qualities make a feature useful for biometric performance? In prior research, pre-dating the advent of deep learning (DL) approaches to biometric analysis, a strong relationship between temporal persistence, as indexed by the intraclass correlat
Externí odkaz:
http://arxiv.org/abs/2402.16399
This manuscript demonstrates an improved model-based approach for synthetic degradation of previously captured eye movement signals. Signals recorded on a high-quality eye tracking sensor are transformed such that their resulting eye tracking signal
Externí odkaz:
http://arxiv.org/abs/2306.08712
We evaluated the data quality of SMI's tethered eye-tracking head-mounted display based on the HTC Vive (ET-HMD) during a random saccade task. We measured spatial accuracy, spatial precision, temporal precision, linearity, and crosstalk. We proposed
Externí odkaz:
http://arxiv.org/abs/1912.02083