Timeline for Estimation of swimmer's velocity from IMU sensor
Current License: CC BY-SA 3.0
14 events
when toggle format | what | by | license | comment | |
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Apr 7, 2017 at 13:54 | comment | added | cabal | First, I used the Madgewick filter to estimate the sensor orientation. Then, I removed the gravity from the accelerometer data and then, I integrated the acceleration to obtain the velocity. The method introduces the drift. The drift was removed by the Empirical Mode Decomposition based to remove the drift. | |
Feb 28, 2017 at 19:27 | comment | added | M-T-A | @cabal how did you estimate your values (blue graph) ? | |
Mar 23, 2015 at 6:42 | answer | added | mcmiln | timeline score: 2 | |
Mar 21, 2015 at 16:24 | comment | added | cabal | @mcmiln thank you for your help. That is not problem I can send you data from IMU sensor. I prepared matlab file with strut where IMU and tethered data are put. You can get this file from here: dl.dropboxusercontent.com/u/49911695/data.zip If you prefere other way of getting file just let me know. My IMU sensor is Shimmer. | |
Mar 21, 2015 at 16:24 | comment | added | cabal | @EugeneSh. I am not sure that - in this case - it is possible to add additional sensors. My idea is to applied nonlinear and nonstationary de-trending methods to deal with this problem. What do you think on it? | |
Mar 21, 2015 at 16:12 | comment | added | cabal | Thank you for inspiring comments. @Ignacio, the swimmer before start swimming stay still in water. I am aware that it is not possible to be in stationary state in water but that is the peculiarity of this problem. | |
Mar 20, 2015 at 1:40 | answer | added | docscience | timeline score: 0 | |
Mar 19, 2015 at 17:19 | comment | added | mcmiln | I'd like to see the acceleration data. If you show me that and give me the actual part number of the sensor I can give you a better idea on settings for optimal collection given your scenario and possible digital filtering options. | |
Mar 19, 2015 at 16:18 | comment | added | Eugene Sh. | Another problem with accelerometers is their noisy behavior, that is rendering the velocity estimation nearly impossible because of quickly accumulated error. Yo really need to consider additional sensors. | |
Mar 19, 2015 at 16:02 | history | edited | cabal | CC BY-SA 3.0 |
edited title
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Mar 19, 2015 at 15:55 | comment | added | KyranF | increase the sensitivity of your IMU. It's rise time seems too slow or something. | |
Mar 19, 2015 at 15:51 | comment | added | Ignacio Vazquez-Abrams | The problem with acceleration is that it's impossible to determine the absolute velocity unless you start from a known initial state. | |
Mar 19, 2015 at 15:50 | review | First posts | |||
Mar 19, 2015 at 16:08 | |||||
Mar 19, 2015 at 15:47 | history | asked | cabal | CC BY-SA 3.0 |