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Author: search.filters.author.Wongwirat, O.Has files: No

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    Multimodal Synchronization for Human-Machine Interaction in Virtual Environment
    (2002-12-01)
    Wongwirat, O.
    ;
    Chotikakamthorn, N.
    ;
    Ohara, S.
    Human-machine interfacing technologies lead the human to communicate with virtual environment in various effective format and more interactive manner. With the combination of keyboard, mouse, haptic, gesture, speech, and vision modes, the interfaces allow human to be involved with the virtual environment in multimodal form, as if they are embedded as a part of simulation. However, with different mechanism and computing method in multimode interface, they lack of synchronization to support human interaction in the virtual environment. This paper explained human-machine interfacing techniques and proposed multimodal synchronization mechanism to control the tempo and to solve the problems of multimodal interaction. The experimental set to verify human perception with multimode human-machine interface in distributed virtual environment was described at the end. The result gave some figure of how human could adjust their perception to be synchronized with the interactive event in the virtual environment through multimode interface.
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    A learning mechanism for adaptive fitness function in auto 3D graphics layout using genetic algorithm
    (2001-01-01)
    Walairacht, A.
    ;
    Thanapandi, C.
    ;
    Ohara, S.
    ;
    Wongwirat, O.
    ;
    Burintramart, I.
    In computer-aided drafting and designing area, interactive graphics are used for designing components, systems, layouts, and structures. There are several approaches using for automated graphical layout tools in designing the graphic currently. Our research work aims to reduce design-working time, to learn user preferences, and to generate 3D graphical layout design automatically. An attempt to enable computers to generate 3D graphical layout design and presentation automatically by using Genetic Algorithm (GA) has been discussed for a decade. An effective use of GA in automated graphical layout design relies on how close to define a fitness function that can be reflected the user preferences. In this paper, we introduce the methods to define chromosome structures and fitness functions and of the selected objects. A learning mechanism is employed to adjust the fitness values of the objects in the selected layout choosing by the users. By this approach, the fitness functions can be changed adaptively reflecting the selection and user preferences.