Abstract
The olfactory communication and the approach toward smell is boosting interest toward research in the field of human–computer interaction. In this paper, the smell-o-vision device has been fabricated which works on the principle of identification of the element in the video running on the screen. The element identification is done with the help of Google video intelligence API. According to the component identified, the corresponding odor is produced. The position of the generation of odor is vital for the experience of the user. The position of it can be changed as per the requirement of the user. This device would work for any type of video. The similar natured elements have been clubbed under a single category, which is the primary discriminator for the smell generation. The widening effect of the smell is done with the help of fan; the activation of it is the prime source of the odor generation. Time synchronization of the smell generation device with the elements of the video is used for the smooth functioning of the device.
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Nandal, P. (2021). Smell-O-Vision Device. In: Singh, V., Asari, V.K., Kumar, S., Patel, R.B. (eds) Computational Methods and Data Engineering. Advances in Intelligent Systems and Computing, vol 1257. Springer, Singapore. https://doi.org/10.1007/978-981-15-7907-3_24
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DOI: https://doi.org/10.1007/978-981-15-7907-3_24
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