liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Neural Network Gaze Tracking using Web Camera
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
2006 (English)Independent thesis Basic level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Gaze tracking means to detect and follow the direction in which a person looks. This can be used in for instance human-computer interaction. Most existing systems illuminate the eye with IR-light, possibly damaging the eye. The motivation of this thesis is to develop a truly non-intrusive gaze tracking system, using only a digital camera, e.g. a web camera.

The approach is to detect and track different facial features, using varying image analysis techniques. These features will serve as inputs to a neural net, which will be trained with a set of predetermined gaze tracking series. The output is coordinates on the screen.

The evaluation is done with a measure of accuracy and the result is an average angular deviation of two to four degrees, depending on the quality of the image sequence. To get better and more robust results, a higher image quality from the digital camera is needed.

Place, publisher, year, edition, pages
Institutionen för medicinsk teknik , 2006. , 57 p.
Keyword [en]
gaze tracking, computer vision, image processing, face detection, rotational symmetries, neural network, backpropagation
National Category
Computer Vision and Robotics (Autonomous Systems)
URN: urn:nbn:se:liu:diva-5579ISRN: LITH-IMT/MI20-EX--05/414--SEOAI: diva2:21388
Subject / course
Computer Vision Laboratory
Available from: 2006-01-30 Created: 2006-01-30 Last updated: 2012-09-19

Open Access in DiVA

fulltext(937 kB)2367 downloads
File information
File name FULLTEXT01.pdfFile size 937 kBChecksum MD5
Type fulltextMimetype application/pdf

By organisation
Medical InformaticsThe Institute of Technology
Computer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar
Total: 2367 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 1575 hits
ReferencesLink to record
Permanent link

Direct link