The invention relates to a
tactile communication fault tolerance method and
system based on
hybrid prediction, and the method comprises the steps: carrying out the prediction compression of to-be-transmitted data during the transmission of data, and only transmitting a data frame with the relative deviation between a prediction value and a real value greater than a dead zone parameter, so as to reduce the amount of data needing to be transmitted; when the data is received, if
missing data is encountered, adding 1 to the count, comparing the current count value n with a previously received prediction threshold L, if n is greater than L, predicting the
missing data by adopting a zero-order preserving prediction
algorithm, and otherwise, predicting the
missing data by adopting an LSTM model;and if the data is received, resetting the count value, and obtaining a newly received prediction threshold L while the prediction value is a real value. By setting the continuous prediction threshold, the receiving end can autonomously select a relatively conservative prediction
algorithm, the influence brought by accumulated errors caused by continuous prediction is reduced, and the stability ofthe
tactile communication system is further improved.