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Enhancing User Experience in Next Generation Mobile Devices by Combining Eye Tracking with Biometric Data
Bækgaard, Per
(PhD Student)
Larsen, Jakob Eg
(Main Supervisor)
Andersen, Tobias Søren
(Examiner)
Lunner, Thomas Fritiof
(Examiner)
Serafin, Stefania
(Examiner)
Petersen, Michael Kai
(Supervisor)
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
01/09/2013
→
12/12/2016
Funding
Samfinansieret - Andet
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Attention Network
Keyphrases
100%
Pupil Dilation
Computer Science
74%
Visual Processing
Computer Science
74%
Skin Conductance
Computer Science
74%
Eye Tribe
Keyphrases
49%
Time-on-target
Keyphrases
49%
Galvanic Skin Conductance
Keyphrases
49%
Face Expression Detection
Keyphrases
49%
Research output
Research output per year
2017
2017
2017
1
Ph.D. thesis
Research output per year
Research output per year
Enhancing User Experience in Next Generation Mobile Devices Using Eye Tracking as a Biometric Sensor
Bækgaard, P.
,
2017
, Kgs. Lyngby:
Technical University of Denmark
.
260 p.
(DTU Compute PHD-2016; No. 433).
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Attention Network
100%
Skin Conductance
74%
Pupil Dilation
74%
Visual Processing
74%
Electrodermal Response
74%
3266
Downloads (Pure)