Movie with Scents Generated by Olfactory Display Using Solenoid Valves

Nakamoto, Takamichi; Yoshikawa, K.

doi:10.1109/vr.2006.102

Cited by 31 publications

(21 citation statements)

References 6 publications

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“…In research closely related to that reported in this paper, Nakamoto and Yoshikawa (2006) report on an experiment of a four-minute movie consisting of 11 scenes, with 8 out of these being accompanied with one or two different scents, in which they found that the scenes with smell attracted the experimental subjects' attention. Moreover, the contrast of the pleasant smell with the offensive one emphasized their attention.…”

Section: Related Workmentioning

confidence: 67%

The sweet smell of success

Ghinea

Ademoye

2012

ACM Trans. Multimedia Comput. Commun. Appl.

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________________________________________________________________________Olfaction, or smell, is one of the last challenges which multimedia applications have to conquer. As far as computerised smell is concerned, there are several difficulties to overcome, particularly those associated with the ambient nature of smell. In this paper, we present results from an empirical study exploring users' perception of olfaction-enhanced multimedia displays. Findings show that olfaction significantly adds to the user multimedia experience. Moreover, use of olfaction leads to an increased sense of reality and relevance. Our results also show that users are tolerant of the interference and distortion effects caused by olfactory effect in multimedia. Categories and ________________________________________________________________________ INTRODUCTIONOlfactory enhanced multimedia displays concerns themselves with associating computer generated smell with other media in order to enrich the users' experience and perception of a multimedia presentation or application. That olfaction-enhanced multimedia is a challenging research area is reflected by the relative paucity of research works in this area.Current usage of olfaction in multimedia has mostly been limited to the area of multimodal information displays, particularly in the area of presenting system and application output in alternative modes for end users. In such systems, there are different output modes available for presenting information, but only one data medium is used at any time to convey the required information and olfactory data usage in such application systems would often be used in response to, or to signify, the occurrence of some application event. Our interest with olfaction in multimedia displays is however concentrated with its usage when combined with other media. To this end, olfactory data may be used to enhance the meaning and provide clarity of user presented information and increase the sense of reality and enjoyment in multimedia applications. Most of the existing work done using olfactory data integrated with other media objects has mostly been done in the virtual reality field (Boyd et al., 2006;Dinh et al., 1999;Drolet et al., 2009;Jones et al., 2004;Kaye 2001;Nakamoto et al., 2008;Richard et al., 2006;Tijou, Richard and Richard, 2006;Washburn and Jones, 2004;Zybura and Eskeland, 1999), and only one of the reported cases shows any significant results to show that adding olfactory data to such systems impacted on the sense of reality of the application quite considerably.

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Section: Related Workmentioning

confidence: 67%

The sweet smell of success

Ghinea

Ademoye

2012

ACM Trans. Multimedia Comput. Commun. Appl.

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“…The airflow is created using two arrays of six standard microprocessor cooling fans. The gas source is an odour blender (olfactory display), a device described in [29] that can mix up to 13 gas components from arbitrary recipes using rapidly switching solenoid valves. The odour blender samples from the headspace of the compounds, which are kept in liquid phase.…”

Section: Methodsmentioning

confidence: 99%

Probabilistic gas quantification with MOX sensors in Open Sampling Systems—A Gaussian Process approach

Monroy

Lilienthal

Blanco

et al. 2013

Sensors and Actuators B: Chemical

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Gas quantification based on the response of an array of metal oxide (MOX) gas sensors in an open sampling system is a complex problem due to the highly dynamic characteristic of turbulent airflow and the slow dynamics of the MOX sensors. However, many gas related applications require to determine the gas concentration the sensors are being exposed to. Due to the chaotic nature that dominates gas dispersal, in most cases it is desirable to provide, together with an estimate of the mean concentration, an estimate of the uncertainty of the prediction. This work presents a probabilistic approach for gas quantification with an array of MOX gas sensors based on Gaussian Processes, estimating for every measurement of the sensors a posterior distribution of the concentration, from which confidence intervals can be obtained. The proposed approach has been tested with an experimental setup where an array of MOX sensors and a Photo Ionization Detector (PID), used to obtain ground truth concentration, are placed downwind with respect to the gas source. Our approach has been implemented and compared with standard gas quantification methods, demonstrating the advantages when estimating gas concentrations.

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“…Manuscript Received: Nov. 18, 2016 / Revised: Nov. 30, 2016 / Accepted: Dec. 5,2016 Corresponding Author: hskim@anu.ac.kr Tel:+82-54-820-5478, Fax: +82-54-820-6257 Department of Multimedia Engineering, Andong National University evaluation content of aromatic plants. Images, text, animation, audio, olfactory information, and user interaction were suitably incorporated into each unit.…”

Section: Ijact 16-4-10mentioning

confidence: 99%