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In this paper, we propose a markerless augmented reality (AR) system that works on multiple mobile devices. The relative positions and orientations of the devices and their individual motions are estimated from 3D information in real space obtained by depth cameras attached to the devices. The system allows multiple users to share the AR space and to interact with the same virtual object. To estimate...
In this study, we propose a VR system for allowing various types of interaction with virtual objects using an autostereoscopic mobile display and an accelerometer. The system obtains the orientation and motion information from the accelerometer attached to the mobile display and reflects them to the motion of virtual objects. It can present 3D images with motion parallax by estimating the position...
In this research we propose a new motion classification method to improve operability of a 3D gesture interface that assists text input on mobile devices. A certain range of time-series finger scale data is cropped and is classified using linear discriminant analysis. To confirm possibility of linear separation, data were visualized using principle component analysis. Experimental result with changing...
Mobile devices are too small to operate freely using their input surfaces. To solve this problem, non-contact and natural gesture interfaces have been the focus of recent research. In this paper we propose a method of estimating multi-finger position and pose for operating such devices at high speed using a single camera. Our method achieves the finger tracking based on the appearance and shape deformation...
In this paper, we explore the usability of the “In-air Typing Interface” that we developed to overcome the problems common with traditional mobile interfaces. We performed two studies focused on frame rate, latency, and tactile feedback. We found that reducing the latency even by several milliseconds can improve the operating efficiency, and the frame rate partly affects the efficiency. Tactile feedback...
In this paper, we propose an interface in which a camera detects the finger depth, and images and buttons are zoomed in/out based on the information. To stabilize images during operation, an image before zooming is translated so that the displayed image does not move in case of the same zoom ratio. The zoom ratio is kept unchanged at the ratio more than a certain level so that the image is not further...
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