Presentation Technique of Scent to Avoid Olfactory Adaptation

Trials on the transmission of olfactory information together with audio/visual information are currently being conducted in the field of multimedia. However, continuous emission of a scent creates problems of human adaptation to the lingering olfactory stimuli. During long movie scenes, viewers can not detect an emitted scent continuously. To overcome this problem we applied pulse ejection to repeatedly emit scent for short periods of time to ensure the olfactory stimuli do not remain in the air to cause adaptation. This study presents the decision procedure for the ejection interval Deltat required while considering the olfactory characteristics of subjects. The developed method provided the user with an olfactory experience over a long duration, avoiding adaptation.

[1]  Andrew Calway,et al.  Real-Time Camera Tracking Using a Particle Filter , 2005, BMVC.

[2]  Joseph Kaye,et al.  Making Scents: aromatic output for HCI , 2004, INTR.

[3]  Akio Nishimoto,et al.  Recording of olfactory evoked potentials on the human scalp , 1979 .

[4]  Akira Tomono,et al.  An unencumbering, localized olfactory display , 2003, CHI Extended Abstracts.

[5]  Didier Stricker,et al.  Adaptive line tracking with multiple hypotheses for augmented reality , 2005, Fourth IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR'05).

[6]  H. Woodrow,et al.  A new olfactometric technique and some results , 1917 .

[7]  Peter J. Huber,et al.  Robust Statistics , 2005, Wiley Series in Probability and Statistics.

[8]  Vincent Lepetit,et al.  Randomized trees for real-time keypoint recognition , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[9]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Joyojeet Pal,et al.  Multiple Mice for Computers in Education in Developing Countries , 2006, 2006 International Conference on Information and Communication Technologies and Development.

[11]  Vincent Lepetit,et al.  Combining edge and texture information for real-time accurate 3D camera tracking , 2004, Third IEEE and ACM International Symposium on Mixed and Augmented Reality.

[12]  Takamichi Nakamoto,et al.  Odor recorder using active odor sensing system , 2001 .

[13]  D. Marquardt An Algorithm for Least-Squares Estimation of Nonlinear Parameters , 1963 .

[14]  Richard Corbett,et al.  AROMA: ambient awareness through olfaction in a messaging application , 2004, ICMI '04.

[15]  Okada Ken-ichi,et al.  Toward the Actualization of Broadcasting Service with Smell Information , 2003 .

[16]  Michael Isard,et al.  CONDENSATION—Conditional Density Propagation for Visual Tracking , 1998, International Journal of Computer Vision.