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Date of download: 9/18/2016 Copyright © ASME. All rights reserved. From: Effect of Calibration Method on Tekscan Sensor Accuracy J Biomech Eng. 2008;131(3):034503-034503-4.

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Presentation on theme: "Date of download: 9/18/2016 Copyright © ASME. All rights reserved. From: Effect of Calibration Method on Tekscan Sensor Accuracy J Biomech Eng. 2008;131(3):034503-034503-4."— Presentation transcript:

1 Date of download: 9/18/2016 Copyright © ASME. All rights reserved. From: Effect of Calibration Method on Tekscan Sensor Accuracy J Biomech Eng. 2008;131(3):034503-034503-4. doi:10.1115/1.3005165 A schematic of the three calibration methods available with the Tekscan software that were used in the current study: 20% linear, 80% linear, and power. The raw output for the sensor is the sum of all individual sensel outputs, which range from 0 to 255. The Tekscan software uses the calibration equation to convert raw sensor output to calibrated loads during testing. The raw sensor output will lead to different calibrated forces depending on the equation used. In the case shown by the arrows, the 80% calibration results in much higher calibrated loads than the 20% and power calibrations. For higher loads, the 20% calibration results in much lower calibrated loads than the other two methods. Figure Legend:

2 Date of download: 9/18/2016 Copyright © ASME. All rights reserved. From: Effect of Calibration Method on Tekscan Sensor Accuracy J Biomech Eng. 2008;131(3):034503-034503-4. doi:10.1115/1.3005165 The configuration used to apply pressure to Tekscan sensors using an Instron materials testing machine Figure Legend:

3 Date of download: 9/18/2016 Copyright © ASME. All rights reserved. From: Effect of Calibration Method on Tekscan Sensor Accuracy J Biomech Eng. 2008;131(3):034503-034503-4. doi:10.1115/1.3005165 Timeline of calibrations and loading. This sequence was performed for three identical sensors. For one of the sensors, three sets of experimental data were taken to test for repeatability of the results for the same calibration algorithm. Figure Legend:

4 Date of download: 9/18/2016 Copyright © ASME. All rights reserved. From: Effect of Calibration Method on Tekscan Sensor Accuracy J Biomech Eng. 2008;131(3):034503-034503-4. doi:10.1115/1.3005165 Output for one sensor calibrated using the five different calibration algorithms showing overestimation of the loads when using the 80% linear calibration at lower loads and underestimation of the loads when using the 20% linear calibration at higher loads Figure Legend:

5 Date of download: 9/18/2016 Copyright © ASME. All rights reserved. From: Effect of Calibration Method on Tekscan Sensor Accuracy J Biomech Eng. 2008;131(3):034503-034503-4. doi:10.1115/1.3005165 Average rms errors of Tekscan and user-defined calibration algorithms for three different testing ranges. The calibration points used for the three-point polynomial (10%, 50%, and 100%) were chosen to minimize rms errors over the full range; other selections could reduce errors in the high or low range. Error bars show the standard deviation for the three sensors tested. Figure Legend:


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