## 1 Introduction  
Virtual environment is defined as the awareness of the environments' contents by using synthetic sensory information as if they were not synthetic [1]. Feeling immersed in this type of environment requires the user to be in a psychological state that he/she feels included in the environment.  
Many researchers aimed to enhance the immersive experience for the users of virtual environments by attempting to mimic the real environment. Since we perceive our surrounding by our senses in the real environment, the absence of any sense will affect our engagement in the environment. The same thing can be generalized in the virtual environment. A player's presence will be increased by increasing the senses that will be active during the experiment [2]. Thus tactile, olfactory, audio and visual sensory cues will result in stimulating the senses from the real environment and also give the user a strong sense of presence in the virtual environment [3].  
However, among the sensory cues, olfactory is the less used to enrich experience of the virtual environment for the users [4]. It is mainly due to the slow advancement especially in emitting the scents when needed, and hence failing to integrate the smells with many software applications [5]. Moreover, the absence of a simple and robust device that can emit the scents hinders using smell compared with the visual and auditory sensory modalities [6]. The device which is responsible for delivering the scents to the user during such experiments is called olfactory display. Olfactory devices are controlled by a computer that delivers odorants to the human olfactory organ [7]. Very few are commercial olfactory displays and are mainly used in cinema movies such as Olorama [8].  
In literature, several olfactory displays were produced releasing scents in the set time. It is a method that works well if we know the type of scents the user will come across such as in the movies. One major issue of this approach is that in the virtual environment such as games or virtual reality applications, it is hard to predict where the player will decide to go or do next, hence what type of scent should be released. Nonetheless, it is possible to further improve the timing of the release of the scents by associating it with the contents of the virtual environment. To the best of our knowledge, no previous attempt or study has fully accomplished and implemented a content aware solution, that can be generalized. With this goal, the work seeks to develop an olfactory display with the use of Inception-V3 model as an approach used in deep learning for image recognition and to release the corresponding scents. The data used in the study is the Minecraft computer game [9].  
The main objective of the study is to propose a new approach for associating scents with visual content of the virtual environment. The findings should make an important contribution in the field of virtual reality that can potentially offer a more immersive experience. Additionally, this work contributes to artificial intelligence by showing that the use of pre-trained model such as the Inception model can be used to solve such multilabel classification problems without the need to develop and train a new CNN from scratch.  
This paper has been divided into four parts. The first part is a literature review to show different types of olfactory displays. The second part covers the methods and materials that describe the system design. The third part presents the result and discussion while the last part is the conclusion and future work.