Computer-implemented method, electronic device, and non-transitory computer-readable storage medium for context-aware classification of physiological signal data

Abstract

A computer-implemented method, an electronic device, and a non-transitory computer-readable storage medium for context-aware classification of physiological signal data. The method includes the following. A data string is obtained. The data string is fed into a first deep neural network to generate a first feature map. Multi-dimensional data is generated based on the data string. The multi-dimensional data is fed into a second deep neural network to generate a second feature map. At least the first feature map and the second feature map are fused into a specific feature vector. The specific feature vector is fed into a machine learning model. The machine learning model outputs an identification result corresponding to the data string in response to the specific feature vector.