Daily smoking behavior detection method based on wearable equipment

Abstract

The invention discloses a daily smoking behavior detection method based on wearable equipment. The method uses the wearable equipment, an intelligent mobile phone and wearable Bluetooth audio equipment are comprised and taken as audio transmitting and receiving devices. A series of necessary smoking actions of a user while smoking are taken as points of penetration, a mode identification method is combined to judge a lighter sound and a deep breathing action when the user smokes, and a Doppler effect caused by an arm waves when the user smokes is taken as basic principle, so a judgment for a smoking behavior is completed. The method has the advantages of simple equipment obtaining, smoking behavior judgment real-time performance, the fast judgment speed, high correct rate and the like; and the method can be used in many application fields such as smoking detection, human health evaluation and human psychological condition evaluation.

Description

technical field [0001] The invention relates to a daily smoking behavior detection method based on a wearable device, which belongs to the field of computer applications. Aiming at the problem of detection of smoking behavior in the daily life of users, the necessary smoking action when smoking is taken as the entry point, and the Doppler signal of the audio signal is used as the starting point. Effect and pattern recognition are the basic principles, and a daily smoking behavior detection technology based on smart wearable devices without infrastructure and communication support is realized. Background technique [0002] The detection of smoking behavior in users' daily life has a wide range of application scenarios, such as smoking detection, human health evaluation, human psychological status evaluation and many other application fields. Specifically, the detection technology of smoking behavior requires the system to be able to judge in real time and quickly whether the ...

AI Technical Summary

Problems solved by technology

But this method has a big limitation: it is easy to be interfered by other gestures. Although the smoking action has the action of bringing the hand close to the mouth, other actions such as eating and drinking will also produce the same action, which will cause the system to receive interference

The third type of method is to judge smoking behavior by judging deep breathing. This type of method allows the user to wear a chest breathing belt, uses the breathing belt to monitor the Chengdu of the user's chest ups and downs, and uses machine learning to distinguish smoking, normal breathing, and other daily actions , but this wearable device cannot be worn comfortably by the user. On the other hand, this method is also easily disturbed by other actions

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