Indoor positioning systems (IPSs) have been discussed for use in entertainment, home automation, rescue, surveillance, and healthcare applications. In this paper, we present an IPS that uses an impulse radio-ultra-wideband (IR-UWB) radar network. This radar network system requires at least two radar devices to determine the current coordinates of a moving person. However, one can enlarge the monitoring area by adding more radar sensors. To track moving targets in indoor environments, for example, patients in hospitals or intruders in a home, signal processing procedures for tracking should be applied to the raw data measured using IR-UWB radars. This paper presents the signal processing method required for robust target tracking in a radar network, that is, an iterative extended Kalman filter- (IEKF-) based object tracking method, which uses two IR-UWB radars to measure the coordinates of the targets. The proposed IEKF tracking method is compared to the conventional extended Kalman filter (EKF) method. The results verify that the IEKF method improves the performance of 2D target tracking in a real-time system.
Nowadays, most people have been using a bicycle as a transportation or exercise. The bicycle is so indispensable to the public means of transportation. The demand of the bicycle is increasing since one is becoming advancement more and more. We propose a smart bicycle that can controls the individual parts of the bicycle by smart phone. This paper verifies and validates the problem and the advanced direction after confirming the smart phone's public bicycle to learn about market trends and the analysis of future prospects. Based on the analyzed contents of the problem and improving the direction, we implement public bicycle system with smart bicycle. The implementation of the proposed method shows the available and the effective system with the promote public health by cycling and contributing to the domestic bicycle industry.
In this paper, the proposed method is recognized the hands using color information with input image of the camera. It controls the mouse pointer using recognized hands. In addition, specific commands with the mouse pointer is designed to perform. Most users felt uncomfortable since existing interaction multimedia systems depend on a particular external input devices such as pens and mouse However, the proposed method is to compensate for these shortcomings by hand without the external input devices. In experimental methods, hand areas and backgrounds are separated using color information obtaining image from camera. And coordinates of the mouse pointer is determined using coordinates of the center of a separate hand. The mouse pointer is located in pre-filled area using these coordinates, and the robot will move and execute with the command. In experimental results, the recognition of the proposed method is more accurate but is still sensitive to the change of color of light. 키워드손동작 인식, HCI, 핸드마우스, 영상처리
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