Quantifying saccades while walking: Validity of a novel velocity-based algorithm for mobile eye tracking

@article{Stuart2014QuantifyingSW,
  title={Quantifying saccades while walking: Validity of a novel velocity-based algorithm for mobile eye tracking},
  author={Samuel Stuart and Brook Galna and Sue Lord and Lynn Rochester and Alan Godfrey},
  journal={2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
  year={2014},
  pages={5739-5742}
}
We validate a novel algorithm to detect saccades from raw data obtained during walking from a mobile infra-red eye-tracking device. The algorithm was based on a velocity threshold detection method, which excluded artefacts such as blinks and flickers using specific criteria. Mobile infra-red eye-tracking was performed with a group of healthy older adults (n=5) and Parkinson's disease (n=5) subjects. Saccades determined from raw eye tracker data obtained during walking using the algorithm were… CONTINUE READING
Recent Discussions
This paper has been referenced on Twitter 2 times over the past 90 days. VIEW TWEETS
7 Citations
13 References
Similar Papers

References

Publications referenced by this paper.
Showing 1-10 of 13 references

The measurement of visual sampling during real - world activity in Parkinson ' s disease and healthy controls : A structured literature review

  • L. Alcock Stuart, B. Galna, S. Lord, L. Rochester
  • J Neurosci Methods
  • 2014

Similar Papers

Loading similar papers…