Are you ashamed? Can a gaze tracker tell?
Our aim was to determine the possibility of detecting cognitive emotion information (neutral, disgust, shameful, “sensory pleasure”) by using a remote eye tracker within an approximate range of 1 meter. Our implementation was based on a self-learning ANN used for profile building, emotion status ide...
Main Authors: | Rytis Maskeliunas, Vidas Raudonis |
---|---|
Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2016-08-01
|
Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-75.pdf |
Similar Items
-
A Human-Adaptive Model for User Performance and Fatigue Evaluation during Gaze-Tracking Tasks
by: Mindaugas Vasiljevas, et al.
Published: (2023-02-01) -
An investigation of the distribution of gaze estimation errors in head mounted gaze trackers using polynomial functions
by: Diako Mardanbegi, et al.
Published: (2018-06-01) -
Editorial: Using gaze to study social knowledge: current challenges and future directions
by: Vanessa A. D. Wilson, et al.
Published: (2023-06-01) -
Towards Designing Diegetic Gaze in Games: The Use of Gaze Roles and Metaphors
by: Argenis Ramirez Gomez, et al.
Published: (2019-09-01) -
ANALYSIS OF THE GAZE BEHAVIOUR OF THE WORKER ON THE CARBURETOR ASSEMBLY TASK
by: Novie Susanto
Published: (2015-06-01)