PubMed · 14515708
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Sid Deutsch. Shedding light on dark matter.. https://doi.org/10.1109/memb.2003.1237517
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In order to evaluate the impact of neuromuscular disorders affecting the upper extremities, the functional use of the arm need to be evaluated during daily activities. A system suitable for measuring arm kinematics should be ambulatory and not interfere with activities of daily living. A measurement system based on miniature accelerometers and gyroscopes is adequate because the sensors are small and do not suffer from line of sight problems. A disadvantage of such sensors is the cumulative drift around the vertical and the problems with aligning the sensor with the segment. A method that uses constraints in the elbow to measure the orientation of the lower arm with respect to the upper arm is described. This requires a calibration method to determine the exact orientation of each of the sensors with respect to the segment. Some preliminary measurements were analyzed and they indicated a strong reduction in orientation error around the vertical. It seemed that the accuracy of the method is limited by the accuracy of the sensor to segment calibration.
An increasing number of neuroscience experiments are using virtual reality to provide a more immersive and less artificial experimental environment. This is particularly useful to navigation and three-dimensional scene perception experiments. Such experiments require accurate real-time tracking of the observer's head in order to render the virtual scene. Here, we present data on the accuracy of a commonly used six degrees of freedom tracker (Intersense IS900) when it is moved in ways typical of virtual reality applications. We compared the reported location of the tracker with its location computed by an optical tracking method. When the tracker was stationary, the root mean square error in spatial accuracy was 0.64 mm. However, we found that errors increased over ten-fold (up to 17 mm) when the tracker moved at speeds common in virtual reality applications. We demonstrate that the errors we report here are predominantly due to inaccuracies of the IS900 system rather than the optical tracking against which it was compared.
In the paper we wish to emphasise the significance of vehicle driving dynamics analysis in the collision phase and occupant load analysis by means of using a software environment. Thereby we also wish to present the results of the simulation of the course of a traffic accident with nine victims that arose from a collision between an Audi A6 passenger car and the VW Caravelle van. In treating the traffic accident the forensic expert was faced with the questions about what caused the injuries to the front passenger in the Audi A6 passenger car, about the way the two vehicles had collided, about their collision velocities, about the way the two vehicles were handled and about the causes that originated the traffic accident. The critical situation on the road was a consequence of the tiredness of the van driver, the inadequate use of the passive safety systems and overloading the van.