id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
hij-165	Ziafati Bagherzadeh, S. H.; Toosizadeh, S.	Eye Tracking Algorithm Based on Multi Model Kalman Filter	2022	13	.pdf	application/pdf	5941	405	72	The results of eye tracking in the first scenario: a) frame 1; b) frame 50; c) frame 100; d) frame 150; c) frame 200 In Figures 7 and 8, the errors of estimating eye position to the real mode by proposed algorithm and Kalman filter are shown. − 𝐶�̂�𝑘|𝑘−1) 𝑃𝑘|𝑘 = (𝐼 − 𝐾𝑘𝐻𝑘)𝑃𝑘|𝑘−1 (5) The purpose of this section is to explain the proposed method based on multi-model algorithm for optimizing the estimation of eye position.	cache/hij-165.pdf	txt/hij-165.txt