Exploring Eye Movement Biometrics in Real-World Activities: A Case Study of Wayfinding.

ABSTRACT: Eye movement biometrics can enable continuous verification for highly secure environments such as financial transactions and defense establishments, as well as a more personalized and tailored experience in gaze-based human-computer interactions. However, there are numerous challenges to recognizing people in real environments using eye movements, such as implicity and stimulus independence. In the instance of wayfinding, this research intends to investigate implicit and stimulus-independent eye movement biometrics in real-world situations. We collected 39 subjects' eye movement data from real-world wayfinding experiments and derived five sets of eye movement features (the basic statistical, pupillary response, fixation density, fixation semantic and saccade encoding features). We adopted

SUBMITTER: Liao H 

PROVIDER: S-EPMC9030773 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature