Parameter adjustment method and system of Kalman filtering model based on residual error and equipment

Abstract

The invention discloses a parameter adjustment method and system of a Kalman filtering model based on residual errors, and equipment. The method comprises the following steps: constructing a Kalman filtering model based on a Newton kinematics equation; obtaining touch data of each touch point after a user performs touch operation on a touch screen; according to the Kalman filtering model, predicting each touch point to obtain prediction data of each touch point; constructing a residual matrix according to the prediction data and the touch data; and performing parameter adjustment on the Kalman filtering model according to the residual matrix. According to the method, the Kalman filtering model is constructed by using the Newton kinematics equation, and meanwhile, the residual matrix is constructed through the prediction data and the touch data to adjust a ratio of process noise Q to measurement noise R in the Kalman filtering model, so that a final output result can achieve a smooth effect, and the phenomena of delay and short stroke cannot be generated.

Description

technical field [0001] The invention belongs to the field of touch technology, and in particular relates to a parameter adjustment method, system and equipment of a residual-based Kalman filter model. Background technique [0002] Currently, touch panel technologies based on capacitive, resistive, infrared and acoustic methods are widely commercialized in many products such as mobile phones, tablet PCs, navigation systems, TVs and home appliances. In the prior art, due to the interference of internal and external factors such as environment, process changes, and finger trembling, inaccurate predictions of touch positions and zigzag output are caused. Although software algorithms are proposed in the prior art to achieve accurate prediction points and flat trajectory output, there are still problems such as large modeling errors, inaccurate contact point predictions, and trajectory delays, resulting in the inability to perform Kalman filter smoothing on touch trajectories. Wh...

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Problems solved by technology

[0003] Embodiments of the present invention provide a parameter adjustment method, system, and device of a residual-based Kalman filter model, aiming to solve the problem of short dashes in the prior art when the output effect of the Kalman filter is smooth. Pen and stroke delay issues

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