Multi-sensor time series analysis model based on attention mechanism

The invention discloses a multi-sensor time series analysis model based on an attention mechanism. The method comprises the steps of data collection, data mining, time sequence analysis and front-endvisualization, wherein the data collection is carried out through wearable sensor equipment arranged on a human body; the wearable sensor devices are respectively fixed on the upper sides of a big armand knees of a tester body, a main sensor is arranged on the upper side of a left arm, and the rest are slave sensors; the slave sensor sends a motion signal to the main sensor through the radio frequency wireless transmission module of the slave sensor and then sends the motion signal to the mobile phone; directional analysis is carried out according to the analysis direction, if motion prediction is carried out, the signals are preprocessed, and then prediction is carried out through a model; performing preprocessing, feature extraction, feature normalization, feature dimensionality reduction and classifier recognit