TY  - JOUR
AB  - We  present  an approach to identify  the 3D point  of regard and the fixated object in real-time based on 2D gaze videos without  the  need for manual annotation. The approach does not require  additional hardware except for the mobile eye tracker. It is currently applicable for scenarios with static target objects and requires an instrumentation of the environment with markers. The system has already been tested in two different studies. Possible applications are visual world paradigms in complex 3D environments, research on visual attention or human-human/human-agent interaction studies.
DA  - 2014
KW  - Gaze-based Interaction
Eye Tracking
LA  - eng
IS  - Suppl. 1
M2  - S127
PY  - 2014
SN  - 1612-4782
SP  - S127-S129
T2  - Cognitive Processing
TI  - Efficient analysis of gaze-behavior in 3D environments
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-26820982
Y2  - 2024-11-21T16:49:34
ER  -