"Friend Park"-expression of the wind and the scent on virtual space

K, Tominaga; Honda, Shinkuro; Ohsawa, Takaharu; Shigeno, H.; Okada, Ken Ichi; Matsushita, Yutaka

doi:10.1109/vsmm.2001.969706

Cited by 22 publications

(11 citation statements)

References 5 publications

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“…In other words, the range which the smell reaches is a sphere as shown in Figure 4. The sphere is called the smell space [19] (corresponds to the aroma aura in [20]). When the viewpoint of a player enters the smell space of a fruit, the smell of the fruit is diffused by SyP@D2.…”

Section: Networked Virtual 3d Object Identification Gamementioning

confidence: 99%

QoE Assessment of Fairness between Players in Networked Virtual 3D Objects Identification Game Using Haptic, Olfactory, and Auditory Senses

Arima¹,

Sithu²,

Ishibashi³

2017

IJCNS

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In this paper, we carry out QoE (Quality of Experience) assessment to investigate influences of olfactory and auditory senses on fairness for a networked virtual 3D object identification game with haptics. In the game, two players try to identify objects which are placed in a shared 3D virtual space. In the assessment, we carry out the game in four cases. Smells and sounds are presented in the first case, only sounds are done in the second case, and only smells are done in the third case. In the last case, we present neither smell nor sound. As a result, we demonstrate that the fairness deteriorates more largely as the difference in conditions between two users becomes larger.

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Section: Networked Virtual 3d Object Identification Gamementioning

confidence: 99%

QoE Assessment of Fairness between Players in Networked Virtual 3D Objects Identification Game Using Haptic, Olfactory, and Auditory Senses

Arima¹,

Sithu²,

Ishibashi³

2017

IJCNS

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“…For example Tominaga et al [14] used an air pump system to present aromas in virtual environments. They suggest two types of smells: scent of the environment and scent of the object.…”

Section: Uses Of Smell For Interactionmentioning

confidence: 99%

Olfoto

Brewster

McGookin

Miller

2006

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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We present a study into the use of smell for searching digital photo collections. Many people now have large photo libraries on their computers and effective search tools are needed. Smell has a strong link to memory and emotion so may be a good way to cue recall when searching. Our study compared text and smell based tagging. For the first stage we generated a set of smell and tag names from user descriptions of photos. Participants then used these to tag photos, returning two weeks later to answer questions on their photos. Results showed that participants could tag effectively with text labels, as this is a common and familiar task. Performance with smells was lower but participants performed significantly above chance, with some participants using smells well. This suggests that smell has potential. Results also showed that some smells were consistently identified and useful, but some were not and highlighted issues with smell delivery devices. We also discuss some practical issues of using smell for interaction.

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“…Let denote the RBF output for input and let the error be denoted by (1) where, is j-th element of center vector , is j-th element of weight and is j-th element of width at time n. The RBF-SG algorithm adapts the network parameters according to the following equations (2) and (3) [7]. In (2) and (3),…”

Section: Rbf-sg Algorithmmentioning

confidence: 99%

“…The odors are related to the text information, pictures, audio and video clips on the PC. In [2], methods on the expression of the odor on virtual space have been studied. Future multimedia communication systems like mobile phones equipped with odor sensors can be developed to collect, identify, transmit and provide extra sensory information of odor besides voice and image.…”

Section: Introductionmentioning

confidence: 99%

On Training Neural Network Algorithms for Odor Identification for Future Multimedia Communication Systems

Kwon

Kim

Byun

et al. 2006

2006 IEEE International Conference on Multimedia and Expo

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Future multimedia communication system can be developed to identify, transmit and provide odors besides voice and image. In this paper, an improved odor identification method is introduced. We present an analysis of centergradient and a new method of using convergence parameters in training RBFN-SVD-SG (Radial Basis Function Network using Singular Value Decomposition combined with Stochastic Gradient) algorithm for odor identification. Through mathematical analysis, it was found that the steady-state weight fluctuation and large values of convergence parameter can lead to an increase of variance of center-gradient, which induces ill-behaving convergence. The proposed method of using raised-cosine functions for time-decaying convergence parameter shows faster convergence and better recognition performance.

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"Friend Park"-expression of the wind and the scent on virtual space

Cited by 22 publications

References 5 publications

QoE Assessment of Fairness between Players in Networked Virtual 3D Objects Identification Game Using Haptic, Olfactory, and Auditory Senses

QoE Assessment of Fairness between Players in Networked Virtual 3D Objects Identification Game Using Haptic, Olfactory, and Auditory Senses

Olfoto

On Training Neural Network Algorithms for Odor Identification for Future Multimedia Communication Systems

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