Object Recognition Method Based on Indoor Acoustic Channel Disturbance Analysis

Abstract

The present invention provides an object identification method based on room acoustics channel disturbance analysis. The method is completed through two phases. The first phase is the establishing of a sample database, and the second phase is a realistic identification phase. In the room application environment scene, different types of objects for identification in future are selected, acoustics channels are measured when the objects are located at different positions in a room, the measurement signals are subjected to feature extraction to summarize the features of different objects, and a result is taken as a sample feature library; and in the realistic identification process, the acoustics channel is measured again when there is a certain object, and a measurement result is subjected to feature extraction according to the feature extraction method and is subjected to cooperation processing with data in the sample database so as to finally identify the objects in the room. The object identification method based on the room acoustics channel disturbance analysis has the advantages of non-visual identification and adoption of few hardware devices compared to widely applied video identification and WIFI identification. The object identification method based on the room acoustics channel disturbance analysis fully utilizes the acoustics information of the room channels, is simple to calculate, and high in location efficiency.

Description

technical field [0001] The invention relates to the field of acoustic technology, in particular to an object recognition method based on indoor acoustic channel disturbance analysis. This method uses very few hardware devices to identify different objects through indoor acoustic channel disturbance analysis, and can be applied to smart homes, indoor security, and other scenarios that require high recognition and have many obstacles. Background technique [0002] Object Recognition (Object Recognition) is a technology with a wide range of meanings and applications. It includes not only the classification and recognition of different objects in people's daily life, but also the target recognition of various aircraft in the military field, and even more widely. Person recognition also belongs to a generalized object recognition, so it has been continuously researched in many disciplines. [0003] The indoor environment is the application scenario of object recognition that peo...

AI Technical Summary

Problems solved by technology

However, object recognition based on WiFi signals also has obvious problems at the technical and application levels

First of all, from a technical point of view, WiFi-based object recognition and analysis methods are relatively simple, and the time-domain waveform differences of Channel State Information (CSI) are generally used to achieve recognition.

Therefore, in order to obtain rich waveform change information, it is usually required that the object to be recognized has certain motion characteristics. For example, person recognition is actually realized through gait characteristics. Poor recognition accuracy

In addition, from the application level, due to too many WiFi signal sources in daily life, it often causes receiving interference and excessive noise, which affects the recognition accuracy, and the security of WiFi signals is also a factor that needs to be carefully considered in practical applications.

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