An IEC-Based Haptic Rendering Optimizer

Nishino, Hitoshi; Takekata, Kazuma; Sakamoto, Michiaki; Salzman, Muhammad; Azmi, Bin; Kagawa, Tsuneo; Utsumiya, Kouichi

doi:10.1007/3-540-32391-0_70

Cited by 35 publications

(11 citation statements)

References 10 publications

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“…According to the survey in IEC [1], most of IEC approaches in 1990s were applied to sense of sight and hearing. In recent IEC studies, IEC was widely applied to sense of taste [3], smell [4], [5], and touch [6], [7].…”

Section: Introductionmentioning

confidence: 99%

The Efficiency of Interactive Differential Evolution in Creation of Sound Contents: In Comparison with Interactive Genetic Algorithm

Fukumoto

Yamamoto

Ogawa

2012

2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed C

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Interactive Evolutionary Computation (IEC) is well known as an effective method to create media contents suited to user's preference and objectives to use. As one of the methods, we have applied Differential Evolution, which is recent evolutionary algorithm to IEC. Concretely, we have already presented a method that creates sign sounds with Interactive Differential Evolution (IDE). This study aims to investigate fundamentally the efficacy of the IDE method in comparison with Interactive Genetic Algorithm (IGA). Two listening experiments were conducted: experiment 1 as a creation experiment with IDE and IGA, experiment 2 as a re-evaluation experiment. Target of the creation was warning sign sounds. In the experiment 2, representative five sign sounds created in both of IDE and IGA were evaluated. Sixteen males participated as subjects in the experiments. In the result of the experiment 1, IDE overcame IGA in subjective fitness value. Drastic shrink of searching space was observed in IGA, and larger time cost was observed in IDE. In the result of the experiment 2, higher fitness value in average was observed in IDE, however, the difference was not significant.

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Section: Introductionmentioning

confidence: 99%

The Efficiency of Interactive Differential Evolution in Creation of Sound Contents: In Comparison with Interactive Genetic Algorithm

Fukumoto

Yamamoto

Ogawa

2012

2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed C

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“…The user feels properties of the virtual objects such as shapes, weights, and textures through the force exertion. A physical simulation method called spring-damper (S-D) model is used to simulate an appropriate force vector [9].…”

Section: Haptic Sense Generation Toolmentioning

confidence: 99%

An IEC-based Virtual Environment Authoring System for High School Education

Yamabiraki

Sueyoshi

Mukai

et al. 2006

2006 IEEE International Conference on Systems, Man and Cybernetics

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We show software tools to intuitively create a virtual environment (VE) system based on a soft computing technique. The proposed tools use Interactive Evolutionary Computation (IEC) to easily perform 3D authoring tasks such as creating aesthetically pleasing 3D computer graphics (3DCG) models, adding realistic touch sensations to the models, and configuring an effective VE system. Because the tools require no special knowledge and programming skills of users except for sensitivity, we apply the tools to high school IT education. The high school students can make virtual contents by rating the candidate 3DCG models generated and displayed by the system.Then the system evolves the models based on the rates. In this paper, we describe two IEC-based tools for designing the 3DCG model and adding the touch sensation. An ongoing experiment letting the high school students to make a collaborative VE by using the proposed tools is also mentioned.

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“…The first approach of IEC was Biomorph [2], and most of IEC approaches in 1990s were mainly applied to senses of sight and hearing [1]. Recent IEC studies have been spreading its application areas to various senses of taste [3], smell [4][5][6], and touch [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Interactive differential evolution using time information required for user's selection: In a case of optimizing fragrance composition

Fukumoto

Inoue

Koga

et al. 2015

2015 IEEE Congress on Evolutionary Computation (CEC)

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Interactive Evolutionary Computation (IEC) spreads its area of applications. As an example of the applications, we have already proposed an IEC that optimizes fragrance composition suited to each user's feelings by using Interactive Differential Evolution (IDE). To create the fragrance, six aroma sources were mixed, and the intensity of them were target of optimization. Paired comparison was employed as subjective evaluation method. To enhance searching ability of the IDE method, this study proposes a new IDE utilizing both of evolution level of DE's vector (solution candidate) and time information required in user's selection in the paired comparison. In other words, shorter time duration required in the selection is considered as there is larger difference of fitness level between two vectors. Winner vector tended to have chance to evolve itself. These schemes in the proposed method are expected to accelerate searching better solutions. In this study, we constructed an IDE system optimizing fragrances based on the proposed method. Furthermore, with the IDE system, we conducted smelling experiments for investigating the fundamental efficiency of the proposed method. Target of creation was relaxing fragrance. The experimental results showed that obtained fragrances in the last generation was evaluated better than fragrances in initial generation significantly (P<0.01).

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An IEC-Based Haptic Rendering Optimizer

Cited by 35 publications

References 10 publications

The Efficiency of Interactive Differential Evolution in Creation of Sound Contents: In Comparison with Interactive Genetic Algorithm

The Efficiency of Interactive Differential Evolution in Creation of Sound Contents: In Comparison with Interactive Genetic Algorithm

An IEC-based Virtual Environment Authoring System for High School Education

Interactive differential evolution using time information required for user's selection: In a case of optimizing fragrance composition

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