A voice rescue method and system for fall recognition

Abstract

The invention discloses a voice rescue method aiming at fall-over recognition. The method is characterized by comprising the following steps: S1, collecting fall-over information, namely, a system input module collects an audio signal through an audio collecting module, and analyzes the audio signal through a voice awakening module, and the audio signal is transmitted to a voice recognition modulefor further processing; S2, recognizing the information in the audio signal, namely, the voice recognition module carries out transfer writing on the voice, wherein the transfer writing means generating the corresponding voice text and transmitting the voice text to an intelligent conversation module; S3, having a conversation with a fall-over person through the intelligent conversation module, and skipping to S4 for alarming if the asking obtains no reply; and S4, carrying out alarming through a rescue module. The system can recognize the voice emitted by the fall-over object and accuratelytransfer the voice into characters, then the meaning expressed by the fall-over object can be accurately understood, and an important role is played for starting the rescue alarming; and meanwhile, for the intelligent conversation, deep learning is adopted, so that a question can be directly mapped to the answer, and therefore, the complexity of the system is greatly reduced.

Description

technical field [0001] The invention relates to the field of voice recognition, in particular to a voice rescue method and system for fall recognition. Background technique [0002] Today, with the rapid development of science and technology and economy, home intelligence has gradually become the new clarion call of the times. More and more families hope that while introducing smart home, they can solve more problems that need manpower to solve. [0003] At present, the problem of my country's aging population is becoming increasingly serious, and the newly opened two-child policy has also increased the number of children. Middle-aged people are unable to take care of the elderly and children at the same time during their spare time. Therefore, there are often news reports of tragedies such as the empty nest elderly falling down and no one is found. Although some families have installed network cameras, the current network cameras are more used for remote monitoring, and c...

AI Technical Summary

Problems solved by technology

Although some families have installed network cameras, the current network cameras are more used for remote monitoring, and cannot actively warn of possible unexpected situations

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