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<div class="section abstract"><div class="htmlview paragraph">An active sound design (ASD) technique enables the implementation of a specific sound in addition to the real engine/e-motor sound in a vehicle. However, it is difficult to satisfy the various needs of customers because it can provide only a few sounds designed by the manufacturer. This paper presents the method of providing the appropriate driving sound and soundscape in an electric vehicle according to the driver’s emotion and driving environment in real-time. For this purpose, it is studied how to construct a driving sound library from the various sound sources and how to recognize a driver's total emotion from the multi-modal data such as facial expression, heart rate, and electrodermal activity using the CNN and support vector machine algorithms. Then it is discussed how to generate the driving sound of electric vehicle according to the driver’s emotion. Using these methods, a personalized driving sound suitable to the driver's total emotion is provided by using the ASD system of electric vehicle in real-time. Additionally, it is studied how to recognize the driving environment from the outside image and match the soundscape (e.g. effect sound, background music and so on) to playback in an audio amplifier using the CNN and machine learning algorithms. Finally, it shows the demonstration of a prototype system and the people's response in a real driving situation. It is expected that this system can provide a new user experience through the personalized sound in electric vehicle by understanding the customer's feeling and driving situation.</div></div>
<div class="section abstract"><div class="htmlview paragraph">An active sound design (ASD) technique enables the implementation of a specific sound in addition to the real engine/e-motor sound in a vehicle. However, it is difficult to satisfy the various needs of customers because it can provide only a few sounds designed by the manufacturer. This paper presents the method of providing the appropriate driving sound and soundscape in an electric vehicle according to the driver’s emotion and driving environment in real-time. For this purpose, it is studied how to construct a driving sound library from the various sound sources and how to recognize a driver's total emotion from the multi-modal data such as facial expression, heart rate, and electrodermal activity using the CNN and support vector machine algorithms. Then it is discussed how to generate the driving sound of electric vehicle according to the driver’s emotion. Using these methods, a personalized driving sound suitable to the driver's total emotion is provided by using the ASD system of electric vehicle in real-time. Additionally, it is studied how to recognize the driving environment from the outside image and match the soundscape (e.g. effect sound, background music and so on) to playback in an audio amplifier using the CNN and machine learning algorithms. Finally, it shows the demonstration of a prototype system and the people's response in a real driving situation. It is expected that this system can provide a new user experience through the personalized sound in electric vehicle by understanding the customer's feeling and driving situation.</div></div>
<div class="section abstract"><div class="htmlview paragraph">Electro-hydraulic actuators, a type of soft actuators, can provide soft-touch vibrations due to their structural characteristics, but some problems need to be improved to apply them to vehicles. That is, it is necessary to increase excitation force, expand frequency band, lower driving voltage, and increase durability. This research aims to design a new type based on electro-hydraulic actuator and improve problems with its performance to develop a product that generates emotional vibration in vehicles. First, a new mechanism and design of an electro-hydraulic actuator called a PVC-gel film actuator are proposed. This actuator uses PVC-gel as a film which covers a dielectric liquid and uses carbon nanotube as a cathode material. In addition, a method of manufacturing an actuator with improved performance has been proposed by creating and testing prototypes with different sizes and material properties. It has been verified that the proposed actuator improves excitation force, frequency band, driving voltage, and durability compared to the existing actuator. Next, as a result of investigating the object that this actuator can exert the most effect on a vehicle based on body sensitivity, a device has been developed that built into a neck pillow in front of the vehicle seat and linked to the music played on the vehicle to generate a comfortable vibration in the neck. In addition, four vibration scenarios have been constructed to generate vibrations according to various genres of music. Finally, as a result of testing on a vehicle with a large number of people, it has been verified that the vibration generating device developed in this study can provide a new and emotional vibration experience for users.</div></div>
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