Radar image recognition system, method and device and computer readable storage medium

Abstract

The invention discloses a radar image recognition system, method and device and a computer readable storage medium. The radar image recognition system includes: a data preprocessing layer and a deep neural network, the deep neural network comprises a one-dimensional convolutional neural network, a long-term and short-term memory network and a full connection layer. The output of the data preprocessing layer is connected to the deep neural network; the data preprocessing layer acquires a time domain signal detected by the micro Doppler radar and converts the time domain signal into a spectrogram through data preprocessing; the deep neural network extracts a plurality of local spatial-temporal features from a spectrogram output by the data preprocessing layer; and the local spatial-temporalfeatures are processed through the one-dimensional convolutional neural network and the long-short-term memory network to obtain global time features, and radar image recognition processing is performed on the global time features through the full connection layer. The technical problem of low human body activity recognition precision in the prior art is solved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a radar image recognition system, method, device and computer-readable storage medium. Background technique [0002] Human activity recognition provides a great potential application space for various smart life scenarios, including personal health systems, human-computer interaction, and anti-terrorism monitoring. Early human activity recognition methods mainly used video or images collected by optical cameras as input data. However, these methods are usually limited by light conditions, and there is a risk of personal privacy leakage. In recent years, sensor-based human activity recognition has gradually received more widespread attention, and these methods mainly rely on sensors such as gyroscopes, accelerometers, and radars to collect data. Among various surveillance sensors, radar-based devices have unique advantages such as being able to pass through obstacles, ...

AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to provide a radar image recognition system, method, device and computer-readable storage medium, aiming to solve the technical problem of low accuracy of human body activity recognition in the prior art

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