People's emotion can affect people's behavior, also, driver’s emotion has an impact on driving behavior. Driving behavior is a collection of all the behavioral movements of the driver in driving process, will directly affect the safety of drivers and the traffic environment where the driver is in. Research shows that road traffic accidents are an important cause of death worldwide. The accidents caused by driver’s error accounted for 90% of the total accident, of which accidents caused by emotional factors of the driver occupied a large proportion. Deal with safe driving problems, every country has a traffic law to force the driver how to drive, in order to help people avoid traffic accidents, to avoid personal danger and property damage. However, the incidence of traffic accidents is still rising, I think one of the reasons is that there are still a lot of drivers from their own point of view do not realize that some of their driving behavior may lead to danger, hurt themselves or others. In the last decade, smartphones, smartphone operating systems, have changed our way of life. My project is an App for recognizing driver's emotions and adjust them. In the first part of this paper, I first study the references of driving behavior and driving emotion, explore the categories of driver's emotions, and try to find a way to adjust the driver's negative emotions. Subsequently, I study relevant literature, to understand the "music" on people's emotions have a stimulating effect, and with the popularity of cars and the improvement of quality of life, enjoyment of music during driving has become a habit of many drivers. The second part, I will show my App design process and the function structure. In the driving process, user connects mobile device with the car operating system, at the same time, user’s wearable equipment has monitored user’s physiological data and plays the right music to user. For example, when the driver is in extreme excitement or extreme anger, it will play low-energy, low-tension emotion music; when the driver in a depressed mood or drowsiness, it will play high-energy, high-tension emotion music. By this method, it may reduce the driver's extreme emotions, to enhance the safety of driving. In the non-driving time, the driver can view the driving mood map and music records today, may recall them when and why they drove anger or drowsiness today, reminds themselves to drive careful next time; on the other hand, maybe they also want to know what is the name of the new songs they listened today in driving.
FeelU. Emotional music player. Recognize your driving emotion
XIE, ZIQIAO
2016/2017
Abstract
People's emotion can affect people's behavior, also, driver’s emotion has an impact on driving behavior. Driving behavior is a collection of all the behavioral movements of the driver in driving process, will directly affect the safety of drivers and the traffic environment where the driver is in. Research shows that road traffic accidents are an important cause of death worldwide. The accidents caused by driver’s error accounted for 90% of the total accident, of which accidents caused by emotional factors of the driver occupied a large proportion. Deal with safe driving problems, every country has a traffic law to force the driver how to drive, in order to help people avoid traffic accidents, to avoid personal danger and property damage. However, the incidence of traffic accidents is still rising, I think one of the reasons is that there are still a lot of drivers from their own point of view do not realize that some of their driving behavior may lead to danger, hurt themselves or others. In the last decade, smartphones, smartphone operating systems, have changed our way of life. My project is an App for recognizing driver's emotions and adjust them. In the first part of this paper, I first study the references of driving behavior and driving emotion, explore the categories of driver's emotions, and try to find a way to adjust the driver's negative emotions. Subsequently, I study relevant literature, to understand the "music" on people's emotions have a stimulating effect, and with the popularity of cars and the improvement of quality of life, enjoyment of music during driving has become a habit of many drivers. The second part, I will show my App design process and the function structure. In the driving process, user connects mobile device with the car operating system, at the same time, user’s wearable equipment has monitored user’s physiological data and plays the right music to user. For example, when the driver is in extreme excitement or extreme anger, it will play low-energy, low-tension emotion music; when the driver in a depressed mood or drowsiness, it will play high-energy, high-tension emotion music. By this method, it may reduce the driver's extreme emotions, to enhance the safety of driving. In the non-driving time, the driver can view the driving mood map and music records today, may recall them when and why they drove anger or drowsiness today, reminds themselves to drive careful next time; on the other hand, maybe they also want to know what is the name of the new songs they listened today in driving.File | Dimensione | Formato | |
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https://hdl.handle.net/10589/133046