title: Detection of saccades and postsaccadic oscillations in the presence of smooth pursuit.
abstract: A novel algorithm for detection of saccades and postsaccadic oscillations in the presence of smooth pursuit movements is proposed. The method combines saccade detection in the acceleration domain with specialized on- and offset criteria for saccades and postsaccadic oscillations. The performance of the algorithm is evaluated by comparing the detection results to those of an existing velocity-based adaptive algorithm and a manually annotated database. The results show that there is a good agreement between the events detected by the proposed algorithm and those in the annotated database with Cohen's kappa around 0.8 for both a development and a test database. In conclusion, the proposed algorithm accurately detects saccades and postsaccadic oscillations as well as intervals of disturbances.
authors.affiliation: Department of Electrical and Information Technology, Lund University, Lund 221 00, Sweden. linnea.larsson@eit.lth.se
authors.forename: Linnéa
authors.initials: L
authors.lastname: Larsson
authors.forename: Marcus
authors.initials: M
authors.lastname: Nyström
authors.forename: Martin
authors.initials: M
authors.lastname: Stridh
mesh_terms: D000328:Adult; D000465:Algorithms; D016208:Databases, Factual; D006801:Humans; D011698:Pursuit, Smooth / Q000502:physiology*; D012438:Saccades / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted; D014741:Video Recording