Eye-gaze Based Attention Estimation in Minimal Invasive Surgery

  • Georgios Pipelidis (Speaker)

Activity: Talk or presentationPoster presentationunknown

Description

We hypothesize that laparoscopic surgical suboptimal outcomes in patient safety measures are correlated with (i) cognitive load / level of attention of the operating surgeon, (ii) the frequency and degree of disruptions to the surgical workflow, and (iii) the misalignment of visual and motor axes in laparoscopic equipment / setting (eye-hand coordination). In this paper we present an eye tracking approach to assess the surgeons attention based on a clinical study with 6 laparoscopic surgeries. At the eye-gaze level an efficient way for filtering saccades over tremors is presented, and a strategy for reducing the complexity of data by methodical discretizing fixations over saccades while a preserving maximum of the semantic information is presented. This procedure was automated and videos were generated to estimate the surgeons attention levels and to identify possible causes of distraction.
Period21 Aug 2015
Event titleECEM 2015 (18th European Conference on Eye Movements)
Event typeConference
LocationAustriaShow on map

Fields of science

  • 102019 Machine learning
  • 102009 Computer simulation
  • 102 Computer Sciences
  • 102022 Software development
  • 102021 Pervasive computing
  • 102013 Human-computer interaction
  • 102025 Distributed systems

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Engineering and Natural Sciences (in general)