2012
DOI: 10.1016/j.measurement.2011.10.027
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An advanced nonlinear model of a low-g MEMS accelerometer for a computer pen

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Cited by 8 publications
(2 citation statements)
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“…It is true that the drift resulting from measurement errors, installation deviation and environmental parameters can be minimized or overcome by the specific compensation method of post-calibration [6][7][8][9][10][11][12]. Nevertheless, the drift that occurs during the power-on process is not easy to eliminate by external compensation or processing algorithms, due to its complexity, and it severely compromises the shortterm stability and sharply undercuts the performance of microaccelerometers in industrial automation [13][14][15][16]. Current studies into the causes of such drift mainly focus on thermal effects and residual stress.…”
Section: Introductionmentioning
confidence: 99%
“…It is true that the drift resulting from measurement errors, installation deviation and environmental parameters can be minimized or overcome by the specific compensation method of post-calibration [6][7][8][9][10][11][12]. Nevertheless, the drift that occurs during the power-on process is not easy to eliminate by external compensation or processing algorithms, due to its complexity, and it severely compromises the shortterm stability and sharply undercuts the performance of microaccelerometers in industrial automation [13][14][15][16]. Current studies into the causes of such drift mainly focus on thermal effects and residual stress.…”
Section: Introductionmentioning
confidence: 99%
“…Several studies have focused on the design of a pen or device that can identify characters input via a digital interface. Although these designs are not directly related to solving conventional handwriting issues, their concepts and technologies, including algorithms, data acquisition schemes, and force sensors, can be applied to the investigation of handwriting based on biomechanical perspectives [16][17][18][19][20][21][22][23][24][25].…”
Section: Introductionmentioning
confidence: 99%