MEMS mirror based eye tracking: simulation of the system parameter effect on the accuracy of pupil position estimation

• Autorzy: Pomianek Mateusz , Piszczek Marek , Maciejewski Marcin

Identyfikatory

DOI

10.24425/mms.2021.137704

• Języki publikacji: EN

Abstrakty

EN

Eye tracking systems are mostly video-based methods which require significant computation to achieve good accuracy. An alternative method with comparable accuracy but less computational expense is 2D microelectromechanical (MEMS) mirror scanning. However, this technology is relatively new and there are not many publications on it. The purpose of this study was to examine how individual parameters of system components can affect the accuracy of pupil position estimation. The study was conducted based on a virtual simulator. It was shown that the optimal detector field of view (FOV) depends on the frequency ratio of the MEMS mirror axis. For a value of 1:13, the smallest errors were at 0.1°, 1.65°, 2.3°, and 2.95°. The error for the impact of the signal sampling rate above 3 kHz stabilizes at 0.065° and no longer changes its value regardless of increasing the number of samples. The error for the frequency ratio of the MEMS mirror axis increases linearly in the range of 0.065°-0.1°up to the ratio of 1:230. Above this there is a sudden increase to the average value of 0.3°. The conducted research provides guidance in the selection of parameters for the construction of eye tracking MEMS mirror-based systems.

Słowa kluczowe

EN

eye tracking; MEMS mirror; laser scanning; head-mounted display

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2021
• Tom: Vol. 28, nr 4
• Strony: 711--724
• Opis fizyczny: Bibliogr. 20 poz., rys., wykr.

Twórcy

autor

Pomianek Mateusz

• Military University of Technology, Institute of Optoelectronics, 2 Kaliskiego St., 00-908 Warsaw, Poland

autor

Piszczek Marek

• Military University of Technology, Institute of Optoelectronics, 2 Kaliskiego St., 00-908 Warsaw, Poland

autor

Maciejewski Marcin

• Military University of Technology, Institute of Optoelectronics, 2 Kaliskiego St., 00-908 Warsaw, Poland

Bibliografia

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Uwagi

1. The research was funded by the Military University of Technology, Grant Number ZBW/08-893/2020/WAT and Remmed VR.

2. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).