Abstract
In order to avoid car crashes, active safety systems are becoming more and more important. Many crashes are caused due to driver drowsiness or mobile phone usage. Detecting the drowsiness of the driver is very important for the safety of a car. Monitoring of vital signs such as respiration rate and heart rate is important to determine the occurrence of driver drowsiness. In this paper, robust vital signs monitoring through impulse radio ultra-wideband (IR-UWB) radar is discussed. We propose a new algorithm that can estimate the vital signs even if there is motion caused by the driving activities. We analyzed the whole fast time vital detection region and found the signals at those fast time locations that have useful information related to the vital signals. We segmented those signals into sub-signals and then constructed the desired vital signal using the correlation method. In this way, the vital signs of the driver can be monitored noninvasively, which can be used by researchers to detect the drowsiness of the driver which is related to the vital signs i.e., respiration and heart rate. In addition, texting on a mobile phone during driving may cause visual, manual or cognitive distraction of the driver. In order to reduce accidents caused by a distracted driver, we proposed an algorithm that can detect perfectly a driver's mobile phone usage even if there are various motions of the driver in the car or changes in background objects. These novel techniques, which monitor vital signs associated with drowsiness and detect phone usage before a driver makes a mistake, may be very helpful in developing techniques for preventing a car crash.
Highlights
Every year, according to the statistics, more than a million people die on the world’s roads due to car crashes and the cost of dealing with the consequences of these crashes runs to billions [1].Researchers are trying to reduce these numbers by employing different techniques [2,3,4,5,6,7,8]
We have presented techniques based on impulse radio ultra-wideband (IR-UWB) radar that can be helpful in developing methods for preventing car crashes from happening
The monitoring of vital signs related to drowsiness driving and the detection of mobile phone usage by the driver are the two main purposes of this paper
Summary
Every year, according to the statistics, more than a million people die on the world’s roads due to car crashes and the cost of dealing with the consequences of these crashes runs to billions [1].Researchers are trying to reduce these numbers by employing different techniques [2,3,4,5,6,7,8]. All of the ACC systems available today are built around sensors that detect the vehicle ahead with either radar or light detecting and ranging (LIDAR), the laser-based analog to radar [11]. These systems do detect and prevent some types of driver error. We proposed a dual-mode background subtraction algorithm to detect the driver’s use of the. We proposed a dual-mode background subtraction algorithm to detect the driver’s use of the mobile phone accurately and robustly. We proposed a dual-mode background subtraction algorithm to the detect the driver’s use ofState the Phone.
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