SN computer science, 2024-03, Vol.5 (3), p.276
2024
Details
- Autor(en) / Beteiligte
- Titel
- Pistol: Pupil Invisible Supportive Tool in the Wild
- Ist Teil von
- SN computer science, 2024-03, Vol.5 (3), p.276
- Ort / Verlag
- Singapore: Springer Nature Singapore
- Erscheinungsjahr
- 2024
- Link zum Volltext
- Quelle
- SpringerLink (Online service)
- Beschreibungen/Notizen
- This paper is an in the wild evaluation of the eye tracking tool Pistol. Pistol supports Pupil Invisible projects and other eye trackers (Dikablis, Emke GmbH, Look, Pupil, and many more) in offline mode. For all eye tracking recordings, Pistol is able to compute pupil and iris ellipse, eye aperture, eye lids, 3D eye ball, optical vector estimation, and eye movement types. For Pupil Invisible projects, it also supports the detection of a special marker and allows the 2D and 3D gaze estimation mapped on the scene camera. In this extended journal paper for Pistol we focus on challenging in the wild situations, such as reflections on glasses, eye tracking during sport, changing lightning conditions, and this for two eye trackers. The tool Pistol can be downloaded here Link
- Sprache
- Englisch
- Identifikatoren
- ISSN: 2662-995XeISSN: 2661-8907DOI: 10.1007/s42979-024-02606-wTitel-ID: cdi_springer_journals_10_1007_s42979_024_02606_w
- Format
- –
- Schlagworte
- Accuracy, Algorithms, Computer Imaging, Computer Science, Computer Systems Organization and Communication Networks, Data Structures and Information Theory, Eye movements, Imaging and Computer Graphics Theory and Applications, Information Systems and Communication Service, Original Research, Pattern Recognition and Graphics, Pupils, Recent Trends on Computer Vision, Software, Software Engineering/Programming and Operating Systems, Tracking, Vision