TY - GEN
T1 - An artificial neural network for high precision eye movement tracking
AU - Pomplun, Marc
AU - Velichkovsky, Boris
AU - Ritter, Helge
N1 - Publisher Copyright:
© 1994, Springer Verlag. All rights reserved.
PY - 1994
Y1 - 1994
N2 - Research of visual cognition often suffers from very inexact methods of eye movement recording. A so-called eye tracker, fastened to the test person’s head, yields information about pupil position and facing direction related to a computer monitor in front of the subject. It is now a software task to calculate the coordinates of the screen point the person is looking at. Conventional algorithms are not able to realize the required non-linear projection very precisely. Especially if the test person is wearing spectacles, the deviation may exceed 3 degrees of visual angle. In this paper a new approach is presented, solving the problem with a parametrized self-organizing map (PSOM). After a short calibration it reduces the average error to approximately 30 percent of its initial value. Due to its high efficiency (less than 150 μs per computation on a PC with a 486DX2- 66 processor) it is perfectly suited for real-time application.
AB - Research of visual cognition often suffers from very inexact methods of eye movement recording. A so-called eye tracker, fastened to the test person’s head, yields information about pupil position and facing direction related to a computer monitor in front of the subject. It is now a software task to calculate the coordinates of the screen point the person is looking at. Conventional algorithms are not able to realize the required non-linear projection very precisely. Especially if the test person is wearing spectacles, the deviation may exceed 3 degrees of visual angle. In this paper a new approach is presented, solving the problem with a parametrized self-organizing map (PSOM). After a short calibration it reduces the average error to approximately 30 percent of its initial value. Due to its high efficiency (less than 150 μs per computation on a PC with a 486DX2- 66 processor) it is perfectly suited for real-time application.
UR - https://www.scopus.com/pages/publications/84969486280
UR - https://www.scopus.com/pages/publications/84969486280#tab=citedBy
U2 - 10.1007/3-540-58467-6_6
DO - 10.1007/3-540-58467-6_6
M3 - Conference contribution
AN - SCOPUS:84969486280
SN - 9783540584674
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 63
EP - 69
BT - KI-1994
A2 - Nebel, Bernhard
A2 - Dreschler-Fischer, Leonie
PB - Springer Verlag
T2 - 18th Annual German Conference on Artificial Intelligence, KI 1994
Y2 - 18 September 1994 through 23 September 1994
ER -