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Comparison of gaze-to-objects mapping algorithms

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Original languageEnglish
Title of host publicationProceedings of the 1st Conference on Novel Gaze-Controlled Applications, NGCA'11
Publication statusPublished - 2011
Publication typeA4 Article in a conference publication
Event1st Conference on Novel Gaze-Controlled Applications, NGCA'11 - Karlskrona, Sweden
Duration: 26 May 201127 May 2011


Conference1st Conference on Novel Gaze-Controlled Applications, NGCA'11


Gaze data processing is an important and necessary step in gaze-based applications. This study focuses on the comparison of several gaze-to-object mapping algorithms using various dwell times for selection and presenting targets of several types and sizes. Seven algorithms found in literature were compared against two newly designed algorithms. The study revealed that a fractional mapping algorithm (known) has produced the highest rate of correct selections and fastest selection times, but also the highest rate of incorrect selections. The dynamic competing algorithm (designed) has shown the next best result, but also high rate of incorrect selections. A small impact on the type of target to the calculated statistics has been observed. A strictly centered gazing has helped to increase the rate of correct selections for all algorithms and types of targets. The directions for further mapping algorithms improvement and future investigation have been explained.


  • Algorithm design, Eye gaze pointing and selection, Gaze controlled applications, Gaze to object mapping