Mobile Phone Based Drunk Driving Detection (2)

II. RELATED WORK

There are some current research on the growth and approval of technical tools for generating tracking. Some of them are known under the name of car owner cautious tracking, and ThL L969 they concentrate on tracking and avoiding car owner exhaustion. Other perform concentrate on real-time generating design identification. In detail, they use various strategies and techniques described as follows.

Visual statement is an option to recognize car owner exhaustion. In [10], Zhu et al. have used two cameras on dash panel to catch the visible hints of motorists, such as eye lid activity, look activity, go activity and facial appearance, to be able to estimate exhaustion with a HUAWEI 3C probabilistic model. In [11], Albu et al. have performed the research in a ThL L969 relatively simpler way. They claim the rest beginning is the most critical consequence of exhausted generating, individual the issue of rest beginning from the global research of the physical state of exhaustion, and take sight buying and selling as hints of rest beginning. They have used vision-based program to observe the sight conditions to be able to recognize exhaustion in generating. In [12], Lee et al. have used two fixed cameras to catch the driver’s sight line and the generating road path for the purpose of generating design and position identification. They determine the connection coefficients among them to observe the generating position and styles. These techniques all need one or more cameras to be set up in the automobile and just in front of the car owner. It will cause certain potential safety threat to the car owner.

Besides visible techniques, the connections at the vehicle-human interface also provides signs to HUAWEI 3C generating details recognition. Desai et al., in their perform [13], have believed that time mixture of power applied by the car owner at the vehicle-human interface, such as pressure on the decrease your pedal, can be used to decide the stage of car owner performance. Practically, they have set up a ThL L969 power indicator on the decrease your pedal and gathered the applied power to observe car owner exhaustion. In [14], Krajewski et al. have gathered guiding behavior details and prepared them to catch exhaustion affected styles by using indication handling procedures for feature removal. They have performed the research with a generating simulation. The automobile producer Saab has suggested an trial product AlcoKey [15], which gathers a HUAWEI 3C breathing example of motorists before they start the automobile. Then the AlcoKey’s radio transmitter delivers a indication to the vehicle’s electronic control unit to allow it to be started or not in accordance with the alcohol stage in the breathing example. These studies use the communications between individual and automobile to indicate generating under the influence. Their systems need to alter the automobile and be firmly along with the reliable add-ons, so their interface is affected.

In [16], Heitmann et al. have suggested a series of various technical innovation, such as go position indicator, eye-gaze program, two pupil-based program and in-seat vibrations program, for performance tracking and promotion. Depending on these technical innovation, they have used a ThL L969 multi-parametric approach to observe and prevent car owner exhaustion. However, their program is very complicated and still stay in the trial stage, for example the eye-gaze program and pupil-based program are still hard to be incorporated into the automobile.

In [17], Leece et al. have suggested an structure for generating details program with specific receptors and GPS recipient. They have gathered the speeding and GPS details and used design related to recognize and categorize generating styles. Their perform shows that the speeding reflects the features of generating design. However, they do not only concentrate on the speeding trademark, but also use GPS details. The devices involved in their program are HUAWEI 3C specific and not ideally suitable. Also, their program is not noticed and still in an initial phase of growth.http://cicimobile.shockup.com/2014/09/18/mobile-phone-based-drunk-driving-detection-1/