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Driver smoking behavior detection method by use of loudspeaker and microphone of smartphone

A technology of smart phones and detection methods, applied in applications, sensors, diagnostic recording/measurement, etc., can solve problems such as not paying attention to drivers' smoking behavior

Active Publication Date: 2021-07-06
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most of the methods that use smartphone sensors to detect driver behavior have not paid attention to the driver's smoking behavior

Method used

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  • Driver smoking behavior detection method by use of loudspeaker and microphone of smartphone
  • Driver smoking behavior detection method by use of loudspeaker and microphone of smartphone
  • Driver smoking behavior detection method by use of loudspeaker and microphone of smartphone

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Experimental program
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Effect test

Embodiment

[0069] In order to test the performance of this method, this method is written as an Android application and deployed in different models of Android phones. And recruited 6 drivers (4 males and 2 females) to drive different vehicles for a 2-month experiment. During the experiment, the driver carried out the experiment completely in accordance with the usual smoking habits and driving habits.

[0070] Drivers vary in their smoking patterns and driving habits, so we first tested the overall accuracy of the method in various situations. Six drivers conducted experiments according to their own smoking habits during daily driving, and the mobile phone in the car analyzed the driver's sports behavior. image 3 Experimental results while driving with different drivers are shown. The accuracy rate of detection refers to the ratio of the number of correct detections by this method to the total number of times the driver actually exhibited the behavior for a certain behavior; the fals...

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Abstract

The invention relates to a driver smoking behavior detection method by use of the loudspeaker and the microphone of a smartphone, and belongs to the technical field of mobile computing application. Through the loudspeaker and the microphone, which are generally installed on an existing smartphone, a simple active sonar system is formed, after an ultrasonic wave emitted from the loudspeaker of the smartphone is reflected by obstacles in different distances, the ultrasonic wave is received by the microphone of the smartphone in different time periods. When a driver smokes, the movement of the arms and the chest of the driver has certain regularity, and the system detects the movement of the arms and the chest of the driver to analyze whether a smoking behavior is in the presence or not. The driver smoking behavior detection method is especially suitable for no-smoking driving environments, including taxis, online car-hailing, buses and the like.

Description

technical field [0001] The invention relates to a method for detecting a driver's smoking behavior, in particular to a method for detecting a driver's smoking behavior using a smart phone speaker and a microphone, which is used to detect whether a driver has a smoking behavior, and belongs to the technical field of mobile computing applications. Background technique [0002] With the continuous expansion of cities, people's dependence on cars in daily life and work has also increased rapidly, and road safety problems have become more and more serious. An important cause of traffic accidents is the driver's distracted driving behavior during vehicle driving. Studies have shown that 90% of traffic accidents caused by distracted driving are related to drivers smoking. In addition to road safety issues, smoking in the car will also affect the health of the occupants. Another study found that toxin levels were 11 times higher in cars that were regularly smoked than in bars. Sm...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/11A61B5/00
CPCA61B5/1116A61B5/7264
Inventor 李凡解亚东吴玥杨松
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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