Study on Motion Control Device in VR Environment Using Gyro Sensor
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초록
In order for a user to experience virtual reality contents, there are some restrictions, and the user's view is blocked and the sense of reality is lost. Therefore, it is difficult to use keyboard, mouse, etc. which are used in the past. Developers who develop HMD provide a hand tracking device specialized in virtual reality experience to solve the above problem. However, this also has a low concentration of interactivity, movement, and gestures in the hands, which makes the user unfamiliar with the virtual environment less user friendly. In this paper, we tried to resolve the problem of movement by separating the movement from a foot trekking device made by Arduino. The trajectories of the legs were measured using the IMU's accelerometer and gyro, In this case, the error was solved through the Complementary filter. Noise in the basically generated (sensing, communication, and computation) is stabilized by using moving average techniques and omission average. The user measured the speed of mission performance and the error rate of movement in the experimental environment constructed with Unity3d environment by wearing the equipment and Oculus Rift. We compared the existing HMD controller with the controller presented in this paper. Experimental results show that the proposed system provides excellent data for both mission speed and error rate. Based on the results of this experiment, it is confirmed that separation of mobile operation provides high accessibility. This paper will be applicable to various user gesture recognition controllers developed later including mobile controllers.
Abstract
In order for a user to experience virtual reality contents, there are some restrictions, and the user's view is blocked and the sense of reality is lost. Therefore, it is difficult to use keyboard, mouse, etc. which are used in the past. Developers who develop HMD provide a hand tracking device specialized in virtual reality experience to solve the above problem. However, this also has a low concentration of interactivity, movement, and gestures in the hands, which makes the user unfamiliar with the virtual environment less user friendly. In this paper, we tried to resolve the problem of movement by separating the movement from a foot trekking device made by Arduino. The trajectories of the legs were measured using the IMU's accelerometer and gyro, In this case, the error was solved through the Complementary filter. Noise in the basically generated (sensing, communication, and computation) is stabilized by using moving average techniques and omission average. The user measured the speed of mission performance and the error rate of movement in the experimental environment constructed with Unity3d environment by wearing the equipment and Oculus Rift. We compared the existing HMD controller with the controller presented in this paper. Experimental results show that the proposed system provides excellent data for both mission speed and error rate. Based on the results of this experiment, it is confirmed that separation of mobile operation provides high accessibility. This paper will be applicable to various user gesture recognition controllers developed later including mobile controllers.
참고문헌 (8)
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