2001
DOI: 10.1016/s0924-4247(00)00520-3
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Improving the response of an accelerometer by using optimal filtering

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Cited by 36 publications
(29 citation statements)
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“…integration, averaging) depend not only on the noise level, but also on the system sampling frequency and effects such as drift due to temperature fluctuations. A common method to minimise the errors associated with the accelerometer signal is the use of filtering [18][19][20]. Filtering can be used to reduce the errors associated with, for example, integration of a signal, in this case integration of the acceleration in order to obtain velocity and double integration to obtain position.…”
Section: Errors Associated With Wearable Devicesmentioning
confidence: 99%
“…integration, averaging) depend not only on the noise level, but also on the system sampling frequency and effects such as drift due to temperature fluctuations. A common method to minimise the errors associated with the accelerometer signal is the use of filtering [18][19][20]. Filtering can be used to reduce the errors associated with, for example, integration of a signal, in this case integration of the acceleration in order to obtain velocity and double integration to obtain position.…”
Section: Errors Associated With Wearable Devicesmentioning
confidence: 99%
“…In order to verify the proposed algorithm in the ALE system, two applications are conducted in the present study. In the first application, according to the previous work by Hernandez [14,15], ALE investigations are used for the vehicle speed sensor response problem. Today, research on vehicles faces the challenge of rapidly changing technology, which requires a solid foundation in and understanding of not only electric systems as a whole but how each sensor and system interacts with the electrical control system [16].…”
Section: Introductionmentioning
confidence: 99%
“…The second method, which is often used in the field of robotics and aviation, makes use of additional sensors like gyroscopes and sometimes, even the global positional system [6]. This kind of calibration, known as dynamic calibration, has the drawback that precise sensors are needed in order to obtain good calibration.…”
Section: Elements To Be Computedmentioning
confidence: 99%
“…In some cases, the noise filtering procedure has the disadvantage of requiring excessively elaborate and costly hardware, because some signals and their respective noise might share a similar frequency spectrum or the frequency bands of the signal of interest and the noise are very close [6].…”
Section: Elements To Be Computedmentioning
confidence: 99%