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abstract

Interactive midair odor control via ultrasound-driven air flow

Published:27 November 2017Publication History

ABSTRACT

We propose a system for controlling aerial odor with ultrasound-driven straight air flows. The proposed system contains ultrasound transducers consolidated into a phased array so that the location and the orientation of the resulting flow can be arbitrarily steerable. The generated flows behave like virtual jets or fans in the air, which conveys airborne odorant materials toward desired locations including users' faces, for example. Users do not have to wear any devices to enjoy olfactory experiences offered by the system. The situations where the proposed system works would be as follows (Fig. 1): (a) Remotely displaying prepared fragrance to users, (b) Remotely conveying odor of objects that already exist in the environment, and (c) Nullify odor emitted from objects placed near users by blowing it away before reaching them. Conventional olfactory systems mainly handle the first situation, while the others are rarely considered. This is presumably because it is sufficient to display preset fragrance with adequately controlled timings when used in virtual-reality (VR) applications. However, it is not only in the realm of VR applications that human olfactory sensation is important. For instance, scented teleexistence or anti-malodor system could be realized as practical examples of the second or third situations. Those example have not been well-investigated but would indeed potentially broaden the range of olfactory applications.

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References

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  1. Interactive midair odor control via ultrasound-driven air flow

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          cover image ACM Conferences
          SA '17: SIGGRAPH Asia 2017 Emerging Technologies
          November 2017
          30 pages
          ISBN:9781450354042
          DOI:10.1145/3132818

          Copyright © 2017 Owner/Author

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 27 November 2017

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          Overall Acceptance Rate178of869submissions,20%

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