• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.12
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• pp.161-168
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• 2016

Thanks to mass production and provision of smartphones and the HMD (head mounted display), VR (virtual reality) is now being applied to various areas. The VR HMD is the interface equipment which allows users to have realistic experiences through human sensory organs such as vision and auditory sense. Since the majority of VR equipment is operated by the display for both eyes, 360-degree video content and the depth information, the VR mechanism is closely related to human senses, especially vision. Previous studies have focused on how to minimize negative impact such as motion sickness or visual fatigue. Little attention has been paid on research about the visual treatment. Therefore, the focus of this study is to develop technical elements for utilization of vision therapy with the VR HMD and explore possible areas to apply it. To this end, we analyzed the past case studies and technical elements to identify 16 areas for vision therapy. We also developed the optical parameters for utilization of the VR HMD visual targets. The result of this study is expected to be utilized for development of visual targets for vision therapy based on the VR HMD.

• Journal of the HCI Society of Korea
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• v.6 no.1
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• pp.1-8
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• 2011

As virtual realty has become an issue of providing immersive services, in the area of virtual realty, it has been actively investigated to develop user interfaces for immersive interaction. In this paper, we propose a gesture recognition based immersive user interface by using an IR LED embedded helmet and data gloves in order to reflect the user's movements to the virtual reality environments effectively. The system recognizes the user's head movements by using the IR LED embedded helmet and IR signal transmitter, and the hand gestures with the data gathered from data gloves. In case of hand gestures recognition, it is difficult to recognize accurately with the general recognition model because there are various hand gestures since human hands consist of many articulations and users have different hand sizes and hand movements. In this paper, we applied the Mixture-of-Experts based gesture recognition for various hand gestures of multiple users accurately. The movement of the user's head is used to change the perspection in the virtual environment matching to the movement in the real world, and the gesture of the user's hand can be used as inputs in the virtual environment. A head mounted display (HMD) can be used with the proposed system to make the user absorbed in the virtual environment. In order to evaluate the usefulness of the proposed interface, we developed an interface for the virtual orchestra environment. The experiment verified that the user can use the system easily and intuituvely with being entertained.