research-article

Transferring scents over a communication network

Authors:

Poika Isokoski,

Katri Salminen,

Philipp Müller,

Ville Nieminen,

Markus Karjalainen,

Anton Kontunen,

Marjaana Savia,

Anca Telembeci,

Veikko SurakkaAuthors Info & Claims

AcademicMindtrek '20: Proceedings of the 23rd International Conference on Academic Mindtrek

Pages 126 - 133

https://doi.org/10.1145/3377290.3377301

Published: 06 February 2020 Publication History

Abstract

In our work on scent technology, we have come across technology that can be used, in a limited way, to achieve scent transfer. In this paper, we document the scent transfer demonstration that we constructed for a science fair in 2018.

Scent transfer requires a means to measure, transmit, classify, and reproduce scents. First, an ion-mobility spectrometer was used to measure scents. This data was sent to a server on the Internet. From the server, the measurement data was downloaded, baseline-corrected, and classified with an algorithm based on weighted K nearest neighbors and time series measurements. The classification result was used to instruct an olfactory display prototype to reproduce the scent for humans to sense. Our demonstration included two scents. Many more could be included, but a general-purpose scent reproduction is beyond our, and as far as we know, beyond anybody's current capabilities. Image and audio transmission technology are mature, but in the chemical senses such as olfaction and taste, significant challenges remain before they can be routinely included in multimodal interfaces.

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Cited By

Minaev GMüller PSalminen KRantala JSurakka VVisa A(2021)A Comparison of Various Algorithms for Classification of Food Scents Measured with an Ion Mobility SpectrometrySensors10.3390/s2102036121:2(361)Online publication date: 7-Jan-2021
https://doi.org/10.3390/s21020361

Index Terms

Transferring scents over a communication network
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
    2. Interaction paradigms

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cover image ACM Other conferences

AcademicMindtrek '20: Proceedings of the 23rd International Conference on Academic Mindtrek

January 2020

182 pages

ISBN:9781450377744

DOI:10.1145/3377290

Conference Chair:
Markku Turunen
Tampere University

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 06 February 2020

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Academy of Finland

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AcademicMindtrek '20

AcademicMindtrek '20: Academic Mindtrek 2020

January 29 - 30, 2020

Tampere, Finland

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AcademicMindtrek '20 Paper Acceptance Rate 24 of 45 submissions, 53%;

Overall Acceptance Rate 110 of 207 submissions, 53%

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Cited By

Minaev GMüller PSalminen KRantala JSurakka VVisa A(2021)A Comparison of Various Algorithms for Classification of Food Scents Measured with an Ion Mobility SpectrometrySensors10.3390/s2102036121:2(361)Online publication date: 7-Jan-2021
https://doi.org/10.3390/s21020361

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