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A fault-tolerant method and system for tactile communication based on compensated long-term and short-term memory network

Active Publication Date: 2022-05-10
FUZHOU UNIV
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Problems solved by technology

However, the change regularity of the tactile data is poor. When using the original LSTM for prediction, when encountering the sudden change of the slope before and after the tactile data change, the LSTM prediction will have a large error at the inflection point, and continue in the subsequent predictions. or reduce the error value slightly, leading to poor forecasting overall

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  • A fault-tolerant method and system for tactile communication based on compensated long-term and short-term memory network
  • A fault-tolerant method and system for tactile communication based on compensated long-term and short-term memory network
  • A fault-tolerant method and system for tactile communication based on compensated long-term and short-term memory network

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[0029] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0030] It should be pointed out that the following detailed description is exemplary and is intended to provide further explanation to the present application. Unless defined otherwise, 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.

[0031] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combina...

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Abstract

The invention relates to a tactile communication fault-tolerant method and system based on a compensated long-term and short-term memory network. According to the characteristics of tactile data, a compensated LSTM data prediction model is designed. The data that has been compressed or removed is predicted and reconstructed to restore the original sequence. The invention compensates the output value by adding a compensation gate, further reduces the prediction error, and 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 fault-tolerant tactile communication method and system based on a compensated long-short-term memory network. Background technique [0002] With the development of virtual reality (VR) and artificial intelligence, people are gradually unable to be satisfied with the sense of reality and immersion obtained in vision and hearing, so touch has received more and more attention in the industry. During the transmission of haptic data, transmission errors may be caused by problems such as network jitter, which may lead to instability of the haptic communication system. Traditionally, methods such as zero-order hold and first-order linearity are used to solve this problem, but research has shown that haptic data is not just a simple linear relationship. In recent years, due to its advantages in time series prediction, long short-term memory (LSTM) neural network has been...

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Application Information

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