Alexander D. Young

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A realtime posture tracking system has been developed using a network of compact wireless sensor devices worn by the user. Each device is a complete inertial/magnetic tracking unit which performs <i>in situ</i> orientation estimation based on its own sensor readings, using a complementary quaternion-based filter. Compared to existing systems which transmit(More)
—Advances in the miniaturisation of inertial sensors have allowed the design of compact wireless inertial orientation trackers. Such devices require data fusion algorithms to process sensor data into estimated orientations. This paper examines the problem of inertial sensor data fusion and compares two alternative methods for orientation estimation:(More)
Networks of Wireless Inertial Measurement Units (WIMUs) allow for the real time capture of orientation data from multiple devices. Combining data from WIMUs with a rigid body model allows estimation of subject posture. However, posture information is not sufficient for full-body motion capture, the position of the subject in space must also be tracked. In(More)
The use of wireless devices with accelerometers and gyro-scopes to measure the movements of humans and objects is a growing area of interest. Applications range from simple activity detection to detailed full-body motion capture using networks of sensors worn on the body. A variety of algorithms have been proposed for these applications, but opportunities(More)
Motion capture using wireless inertial measurement units (IMUs) has many advantages over other techniques. Achieving accurate tracking with IMUs presents a processing challenge, especially for real time tracking. Centralised approaches are bandwidth-intensive and prone to error from packet loss. Methods based solely on local knowledge have poor dynamic(More)
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