PrivacEye: Privacy-Preserving Head-Mounted Eye Tracking Using Egocentric Scene 
Image and Eye Movement Features

Steil, Julian; Koelle, Marion; Heuten, Wilko; Boll, Susanne; Bulling, Andreas

doi:10.1145/3314111.3319913

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Conference Paper

PrivacEye: Privacy-Preserving Head-Mounted Eye Tracking Using Egocentric Scene Image and Eye Movement Features

MPS-Authors

/persons/resource/persons127686

Steil, Julian
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Steil, J., Koelle, M., Heuten, W., Boll, S., & Bulling, A. (2019). PrivacEye: Privacy-Preserving Head-Mounted Eye Tracking Using Egocentric Scene Image and Eye Movement Features. In K. Krejtz, & B. Sharif (Eds.), Proceedings ETRA 2019. New York, NY: ACM. doi:10.1145/3314111.3319913.

Cite as: https://hdl.handle.net/21.11116/0000-0003-2BC0-4

Abstract

There is no abstract available