A data processing method and system
A data processing and data technology, applied in the direction of instruments, acquisition/recognition of eyes, calculation, etc., can solve the problems of tracking point fluctuation, reduce user experience effect, large error, etc., achieve high fusion accuracy, improve experience effect, and low error Effect
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Embodiment 1
[0082] In Embodiment 1 of the present application, a data processing method is provided, which can meet the fusion requirements of binocular data of different users in different regions, and improve the user experience of controlling eye movement devices. Referring to the figure, the data processing method includes:
[0083] S101. Collect characteristic data of both eyes of the user.
[0084] In the process of calibrating the user (also called calibration), it is necessary to collect the characteristic data of the user. In the embodiment of this application, the user can be allowed to focus on one or more target points, and then collect the characteristic data of the user's eyes. The characteristic data The characteristic data of the left eye and the characteristic data of the right eye are included. The feature data of the user's eyes can be collected through the gaze tracking device.
[0085] Since the line-of-sight tracking device can be a MEMS micro-electro-mechanical sy...
Embodiment 2
[0098] In the first embodiment, the fusion weight table of the user's eyes can be obtained by calculating the preset sub-region accuracy table and the calibration accuracy. Therefore, it is necessary to create a sub-area precision table in advance. see figure 2 , is a method for creating a sub-region precision table provided in Embodiment 2 of the present application, the method comprising:
[0099] S201. Divide the eye tracking area into several sub-areas according to preset rules;
[0100] S202. Collect and analyze user eye feature information corresponding to each sub-area, and obtain tracking accuracy of each sub-area;
[0101] S203. Comparing the tracking accuracy with the expected accuracy corresponding to the sub-area, and obtaining the initial area accuracy table corresponding to each sub-area;
[0102] S204. Process the initial sub-area accuracy table according to the accuracy requirement data to obtain the sub-area accuracy table.
[0103] The eye tracking area ...
Embodiment 3
[0107] On the basis of the above embodiments, a method for determining the expected accuracy of sub-regions is also provided in Embodiment 3 of the present invention, which is mainly realized based on hardware characteristic parameters and characteristic algorithms, see image 3 , the method includes:
[0108] S301. Determine whether the expected accuracy corresponding to the sub-region meets the accuracy requirement data, if not, execute S302, and if yes, execute S303;
[0109] S302. Adjust the hardware characteristic parameters and / or characteristic algorithms, and re-determine the expected accuracy until the expected accuracy meets the accuracy requirement data;
[0110] S303. Determine the current expected precision as the expected precision corresponding to the sub-region.
[0111] In this embodiment, it is necessary to ensure that any sub-region has at least one eye corresponding to the expected accuracy of the two eyes to meet customer needs (that is, the accuracy requ...
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