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Cooperative localization and tracking technique relies on pairwise measurements to jointly estimate the positions and the velocities of multiple nodes in a mobile ad hoc network. The pairwise measurements include the range and the radial velocity between the transmitting and receiving nodes. For a large-scale network, we formulate the state-space models for the subsystems and develop the distributed...
This paper addresses cooperative localization for mobile ad-hoc networks that benefits from the node velocity estimation. Given pair-wise range measurement and relative speed measurement between communicating nodes, the relative node positions are estimated using an extended Kalman filter. The state-space equation of the Kalman filter incorporates the node positions with their velocities. The measurement...
A sensor-network physical activity monitoring system (SAMS) using wearable sensors is presented. It classifies and tracks body activity in real time. The system adopts a service-oriented architecture for data acquisition, sensor actuation & control, and real-time service management. The activity recognition and tracking are carried out using two levels of approaches. At level 1, the movement and...
A physical activity monitoring system by data fusion in body sensor networks is presented in this paper, which targets at providing body status information in real time and identifying body activities. By fusion of data collected from several accelerometer sensors placed on different parts of the body, the activities can be identified and tracked Mathematical approaches employed in the system include...
A body sensor network (BSN) is presented in this paper, which targets at integrating physical activity signal and physiologically related features to provide detailed body context information. Issues concerning the structure of the proposed BSN, functions and interactions between its components are stressed. The BSN has been applied to conduct gait analysis in this study. A gait tracker based on Kalman...
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