Eye movement interaction data smoothing and stabilizing method and system in shaking environment
The invention discloses an eye movement interaction data smoothing and stabilizing method and system in a shaking environment, and relates to the technical field of eye movement interaction dynamic positioning. The method comprises the following steps: carrying out primary filtering processing on an...
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creator | NIU HONGWEI WANG YUEKANG HAO JIA ZHANG SHUOYANG YAO LIYA YANG XIAONAN JIA LIANGYUE |
description | The invention discloses an eye movement interaction data smoothing and stabilizing method and system in a shaking environment, and relates to the technical field of eye movement interaction dynamic positioning. The method comprises the following steps: carrying out primary filtering processing on an eye movement data stream by utilizing a weighted moving average algorithm; performing secondary filtering processing on the eye movement data stream after the primary filtering processing by using a Kalman filtering algorithm; and adjusting a weighted moving average algorithm and a Kalman filtering algorithm by using a dynamic feedback adjustment algorithm according to the eye movement data stream after the secondary filtering processing. According to the method, the weighted moving average algorithm and the Kalman filtering algorithm are combined, oscillation noise in the eye movement data can be effectively eliminated, and smoothness and stability of the eye movement data in complex eye movement interaction are |
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The method comprises the following steps: carrying out primary filtering processing on an eye movement data stream by utilizing a weighted moving average algorithm; performing secondary filtering processing on the eye movement data stream after the primary filtering processing by using a Kalman filtering algorithm; and adjusting a weighted moving average algorithm and a Kalman filtering algorithm by using a dynamic feedback adjustment algorithm according to the eye movement data stream after the secondary filtering processing. According to the method, the weighted moving average algorithm and the Kalman filtering algorithm are combined, oscillation noise in the eye movement data can be effectively eliminated, and smoothness and stability of the eye movement data in complex eye movement interaction are</abstract><oa>free_for_read</oa></addata></record> |
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subjects | BASIC ELECTRONIC CIRCUITRY CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING ELECTRICITY IMPEDANCE NETWORKS, e.g. RESONANT CIRCUITS PHYSICS RESONATORS |
title | Eye movement interaction data smoothing and stabilizing method and system in shaking environment |
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