Comparison of eye movement filters used in HCI
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Yksityiskohdat
| Alkuperäiskieli | Englanti |
|---|---|
| Otsikko | Proceedings - ETRA 2012: Eye Tracking Research and Applications Symposium |
| Sivut | 281-284 |
| Sivumäärä | 4 |
| DOI - pysyväislinkit | |
| Tila | Julkaistu - 2012 |
| OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisussa |
| Tapahtuma | 7th Eye Tracking Research and Applications Symposium, ETRA 2012 - Santa Barbara, CA, Yhdysvallat Kesto: 28 maaliskuuta 2012 → 30 maaliskuuta 2012 |
Conference
| Conference | 7th Eye Tracking Research and Applications Symposium, ETRA 2012 |
|---|---|
| Maa | Yhdysvallat |
| Kaupunki | Santa Barbara, CA |
| Ajanjakso | 28/03/12 → 30/03/12 |
Tiivistelmä
We compared various real-time filters designed to denoise eye movements from low-sampling devices. Most of the filters found in literature were implemented and tested on data gathered in a previous study. An improvement was proposed for one of the filters. Parameters of each filter were adjusted to ensure their best performance. Four estimation parameters were proposed as criteria for comparison. The output from the filters was compared against two idealized signals (the signals denoised offline). The study revealed that FIR filters with triangular or Gaussian kernel (weighting) functions and parameters dependent on signal state show the best performance.