TY - GEN
T1 - A hybrid fuzzy approach for human eye gaze pattern recognition
AU - Zhu, Dingyun
AU - Mendis, B. Sumudu U.
AU - Gedeon, Tom
AU - Asthana, Akshay
AU - Goecke, Roland
PY - 2009
Y1 - 2009
N2 - Face perception and text reading are two of the most developed visual perceptual skills in humans. Understanding which features in the respective visual patterns make them differ from each other is very important for us to investigate the correlation between human's visual behavior and cognitive processes. We introduce our fuzzy signatures with a Levenberg-Marquardt optimization method based hybrid approach for recognizing the different eye gaze patterns when a human is viewing faces or text documents. Our experimental results show the effectiveness of using this method for the real world case. A further comparison with Support Vector Machines (SVM) also demonstrates that by defining the classification process in a similar way to SVM, our hybrid approach is able to provide a comparable performance but with a more interpretable form of the learned structure.
AB - Face perception and text reading are two of the most developed visual perceptual skills in humans. Understanding which features in the respective visual patterns make them differ from each other is very important for us to investigate the correlation between human's visual behavior and cognitive processes. We introduce our fuzzy signatures with a Levenberg-Marquardt optimization method based hybrid approach for recognizing the different eye gaze patterns when a human is viewing faces or text documents. Our experimental results show the effectiveness of using this method for the real world case. A further comparison with Support Vector Machines (SVM) also demonstrates that by defining the classification process in a similar way to SVM, our hybrid approach is able to provide a comparable performance but with a more interpretable form of the learned structure.
UR - http://www.scopus.com/inward/record.url?scp=70349154209&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-03040-6_80
DO - 10.1007/978-3-642-03040-6_80
M3 - Conference contribution
SN - 3642030394
SN - 9783642030390
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 655
EP - 662
BT - Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers
T2 - 15th International Conference on Neuro-Information Processing, ICONIP 2008
Y2 - 25 November 2008 through 28 November 2008
ER -