Research paper on drunk driving

Research paper on drunk driving

Drunk Driving Research Paper Words | 3 Pages. Drunk Driving It is sad to say that drunk driving is very common in today’s world, it is especially common in teenagers. Teens would go to parties and drink and get behind the wheel without thinking about the consequences that lie ahead Apr 03,  · Research Paper Every year in the United States 13, people are killed from an alcohol related accident. In a different perspective, that is about 35 people every day (Mothers Against Drunk Driving). To bring this statistic down, schools should educate students on the consequences of drunk driving because teenagers As it was researched by the US National Highway Traffic Safety Administration (NHTSA), in over 37 thousand people died in car accidents, and around 11,5 thousand of them due to drunk driving. If these figures do not scare you enough – just calculate it: last year’s deaths related to drunk driving accounted more than 32% of all deaths in car crashes

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To browse Academia. edu and the wider internet faster and more securely, please take a few research paper on drunk driving to upgrade your browser. Skip to main content. edu no longer supports Internet Explorer. Log In Sign Up. Download Free PDF. Drunk Driving Detection Computer Science and Information Technology.

Kavish Sanghvi. Download PDF. Download Full PDF Package This paper. A short summary of this paper. READ PAPER. Drunk Driving Detection. org DOI: Authors agree that this article remains permanently open access under the terms of the Creative Commons Attribution License 4, research paper on drunk driving.

by day and has become a big issue. To electronics, computing modules and network connectivity avoid such accidents, precautionary measures using using which they aggregate and share data. In this specific different technologies are taken. Drunk driving detection is case, sensors to detect alcoholism can be directly or process of detecting whether a person is drunk or not. It indirectly used. This can be connected to mobile phones uses data provided by sensors and camera to detect whether which contain communication network for appropriately the person is drunk or not.

The data is further processed alerting people. Several models can be found in literature. using specific algorithm and methods to detect whether However, no specific model has been adopted for person is drunk or not.

It uses various detection methods widespread use. The various methods proposed face like Iris recognition using Gabor filter, Neural network problems such as difficulty in implementation, scalability using face images, detection using speech, Non-invasive and complexity. Therefore, new models need to maintain Biological sensors, detection using Driving pattern and cheap cost, easy implementation along with accuracy.

Engine locking system. Keyword Gabor Filter, Neural Network, Biological 2. Related Works Sensor A. Drunk Driving Detection through Iris Recognition Using Gabor Filter 1. Introduction The alcohol detection system through Iris recognition using Gabor filter, it is focused on three main tasks.

First is In the modern day, with the increase in the number of capturing an iris image [2], research paper on drunk driving. Secondly, it is necessary to vehicles plying on the roads, traffic accidents have grown encode the iris information into a format which is significantly in number.

One of the primary causes of responsive to calculation and computation. Finally, a signal traffic accidents is drunk driving or driving under influence coming from the open source recognition system will DUI. Once the driver is accidents, with drunk driving being the primary cause [1]. detected under the influence of alcohol, the ignition system Currently, police inspecting roads sample cars for breath will be locked down.

To identify the difference between the tests to detect alcohol levels. However, this approach is size of pupil research paper on drunk driving and after alcohol consumption, a manual and unlikely to detect most cases of driving under computation was designed influence of alcohol.

Block diagram of Iris Recognition using Gabor filter B. Drunk Driving Detection neural network. The output layer is composed of 2 units, namely u1: drinking and u2: no drinking. Cheek portion is Drunk driving detection using neural networks uses a extracted from the face image captured from camera, this camera for capturing face images [3]. A 3-layered components. Finally, research paper on drunk driving the values to [0,1] to use as fully connected neural network system is used to detect input to the neural network.

whether a person is drunk or not. Neural network is trained with the back-propagation method by giving face images before and after drinking and examine the accuracy of detection by applying test data. The back-propagation algorithm updates the weight from the output layer to the input layer in reverse order.

The process is repeated until the error energy is smaller than threshold. Figure 3. A small part from else heavy drinking the face image is cut out and resizes it in small size. The RGB values are normalized and are provided to the input The accuracy of the face images is calculated using layer of the neural network. The output layer indicates following formula whether person is drunk or not. Color chart for drunk level false alarm vs. miss probabilities of missing intoxicated speaker.

The DET curve determines the detection threshold. Figure 4. DET of official development set C. Drunk Driving Detection Using Speech A traditional approach to speaker state detection includes two states: the extraction of low-level acoustic features, and a n-way direct classification or regression using maximum margin classifiers [4]. Drunk speaker may use prosodic contours differently from sober speaker. Energetic drunk speaker may systematically more emphasize than sober speaker, whereas depressed drunk speaker might use less emphasis.

Phasing is thought to be Figure 5. Non-invasive Biological Sensor System for include more disfluenced and intonational phrase Detection of Drunk Driving boundaries. AuToBI toolkit is used to identify prosodic events automatically. Intoxication may cause speakers to A seat containing the air-pack sensor used to monitor the pronounce words differently, choosing certain AP-PW is shown in Fig.

The digital pulse volume, using pronunciation variants more frequently than others, and a finger clip photoplethysmography and the breath-alcohol may even choose certain words more frequently affecting concentration were measured with AP-PW simultaneously the phonotactic patterns in each class [5].

It is useful to [6], research paper on drunk driving. Biological signals were taken from the subjects 20 hardware and software environment for the development of minutes prior to consuming alcohol, for subsequent active drunk driving monitoring system.

The system based comparison to signals from the non-invasive sensors in the on mobile phone can function effectively on its own air pack. Recorded biological data was Hz. Subjects because mobile phones are highly portable, all necessary then consumed alcohol Beer, ml within 10 mins, research paper on drunk driving.

The components are already integrated, and their first measurement was taken during a 20 mins period communication services have vast coverage. The minimum minutes after consumption of alcohol, when the blood requirement for such a mobile phone platform is the alcohol is believed to reach highest levels.

To observe the presence of simple sensors like accelerometer, orientation changes over time in all subjects, measurements were also sensor, etc. The communication module and speaker are recorded at minutes and minutes, for total good enough for alerting. Drunk driving related behavior of four measurements. Subjects had not eaten for at least 3 are classified into three categories. The first and second hours prior to consuming the alcohol, but we provided a category focus on driving behaviors related to vehicle typical volume of snacks along with the alcohol, to movement; the third category is about driving behavior reproduce usual conditions under which alcohol is related to subjective judgment and vigilance of the driver.

The breath-alcohol concentration was measured before and after measuring all biological signals. Figure 6. Experimental apparatus The original waveforms from research paper on drunk driving strings of the digital pulse volume and the AP-PW from the first 5 minutes of measurements in each period for all subjects were compared using the FFT analysis. The analysis research paper on drunk driving the time series research paper on drunk driving frequency fluctuation of the AP-PW curves, in Figure 7, research paper on drunk driving.

Time series computation of frequency fluctuation Fig. Indicate methods used in the calculation. The AP-PW was filtered using frequency analysis to separate the research paper on drunk driving of the body-trunk plethysmogram. The Savitzky and Golay smoothing filter is used to find maximum value in the time series of the AP-PW data.

Breath-alcohol concentration was measured before and after drinking as shown in Fig. For all subjects, the breath-alcohol concentration increased more than 0.

Drunk Driving Detection Using Driving Pattern Drunk driving detection using driving pattern uses mobile phone as the platform for drunk detection as they combine the detection and communication functions [7]. As a self-contained device, mobile phone presents a mature Figure 8. Problems in maintaining the lane position: a weaving, b drifting, c swerving, d turning with a wide radius The system includes following modules: 1 monitoring daemon module, 2 calibration module, 3 data processing and pattern matching module and 4 alert module, research paper on drunk driving.

The third module implements the detection algorithm, research paper on drunk driving, as marked by a dashed box. A calibration procedure is conducted when system detects phone is located in a moving vehicle; then the main program is launched, working as a background daemon [8].

The daemon monitors the driving pattern and behavior in real time and collects acceleration information. The collected information includes lateral and longitudinal acceleration. They are processed separately, and used as inputs to the multiple round pattern matching process.

If the pattern condition is satisfied, which means drunk driving is detected; one signal is transmitted to trigger an alert. The phone alarms to remind the driver and automatically contact the police station.

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University Abstract This paper explores the research and find results on how drinking and driving has become a big problem in the United States. Drinking and driving effects a person’s ability to operate a vehicle and therefore drunk drivers need to be educated on the Apr 03,  · Research Paper Every year in the United States 13, people are killed from an alcohol related accident. In a different perspective, that is about 35 people every day (Mothers Against Drunk Driving). To bring this statistic down, schools should educate students on the consequences of drunk driving because teenagers This Xuan, “Mobile Phone Based Drunk Driving Detection”, in IEEE 4th International ICST Conference on Pervasive paper has listed several different methods to analyze Computing Technologies, drunken driving, and also listed their advantages and shortcomings