A fault-tolerant method and system for tactile communication based on hybrid prediction

A mixed prediction and tactile technology, applied in the input/output process of data processing, input/output of user/computer interaction, instruments, etc., can solve the problem of error accumulation, achieve the effect of reducing accumulated error and improving stability

Active Publication Date: 2022-06-17
FUZHOU UNIV
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Problems solved by technology

However, this method has the problem of error accumulation in the case of long-term forecasting, and there is still room for improvement in performance

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  • A fault-tolerant method and system for tactile communication based on hybrid prediction
  • A fault-tolerant method and system for tactile communication based on hybrid prediction
  • A fault-tolerant method and system for tactile communication based on hybrid prediction

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Embodiment Construction

[0038] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0039] It should be noted that the following detailed description is exemplary and intended to provide further explanation of the application. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0040] It should be noted that the terminology used herein is for the purpose of describing specific embodiments only, and is not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural as well, furthermore, it is to be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates that There are features, steps, operations, devices, components and / ...

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Abstract

The invention relates to a fault-tolerant method and system for tactile communication based on hybrid prediction. When sending data, by predicting and compressing the data to be sent, only sending data frames whose relative deviation between the predicted value and the real value is greater than the dead zone parameter, so as to reduce The amount of data that needs to be sent; when receiving data, if missing data is encountered, the count is increased by 1, and the current count value n is compared with the previously received prediction threshold L. If n>L, zero-order hold is used The prediction algorithm predicts the missing data, otherwise the LSTM model is used to predict the missing data; if the data is received, the count value is cleared, and the predicted value at this time is the real value, and the newly received prediction threshold L is obtained at the same time. The present invention enables the receiving end to independently select a relatively conservative prediction algorithm by setting the continuous prediction threshold, reduces the impact of accumulated errors caused by continuous prediction, and further improves the stability of the tactile communication system.

Description

technical field [0001] The invention relates to the technical field of tactile communication, in particular to a tactile communication fault tolerance method and system based on hybrid prediction. Background technique [0002] In recent years, with the development of virtual reality (VR) and artificial intelligence, people are gradually unable to be satisfied with the sense of realism and immersion obtained from the visual and auditory senses, so the sense of touch has received more and more attention in the industry. During the transmission process of tactile data, transmission errors may be caused by problems such as network jitter, which may lead to instability of the tactile communication system. Traditionally, methods such as zero-order hold and first-order linearity are used to solve this problem, but research shows that haptic data is not only a simple linear relationship. In recent years, due to its advantages in time series prediction, long short-term memory (LSTM)...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/01G06N3/04
CPCG06F3/016G06F2203/012G06N3/044G06N3/045
Inventor 房颖林擎旭郑权斐徐艺文赵铁松
Owner FUZHOU UNIV
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