20.500.12556/RUL-134712 Centre of pressure estimation during walking using only inertial-measurement units and end-to-end statistical modelling Estimation of the centre of pressure (COP) is an important part of the gait analysis, for example, when evaluating the functional capacity of individuals affected by motor impairment. Inertial measurement units (IMUs) and force sensors are commonly used to measure gait characteristic of healthy and impaired subjects. We present a methodology for estimating the COP solely from raw gyroscope, accelerometer, and magnetometer data from IMUs using statistical modelling. We demonstrate the viability of the method using an example of two models: a linear model and a non-linear Long-Short-Term Memory (LSTM) neural network model. Models were trained on the COP ground truth data measured using an instrumented treadmill and achieved the average intra-subject root mean square (RMS) error between estimated and ground truth COP of 12.3 mm and the average inter-subject RMS error of 23.7 mm which is comparable or better than similar studies so far. We show that the calibration procedure in the instrumented treadmill can be as short as a couple of minutes without the decrease in our model performance. We also show that the magnetic component of the recorded IMU signal, which is most sensitive to environmental changes, can be safely dropped without a significant decrease in model performance. Finally, we show that the number of IMUs can be reduced to five without deterioration in the model performance. gait analysis inertial measurement units gait model estimation of centre of pressure artificial neural networks wearable sensors balance rehabilitation analiza hoje inercialna merilna enota modeli hoje ocena prijemališča sile nevronske mreže nosljivi senzorji true false true Angleški jezik Slovenski jezik Članek v reviji 2022-01-27 11:22:07 2022-01-27 11:22:07 2022-09-14 04:09:29 0000-00-00 00:00:00 2020 0 0 20 str. iss. 21, art. 6136 Vol. 20 Nov. 2020 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 681.586 1424-8220 10.3390/s20216136 34924291 RAZ_Podobnik_Janez_2020.pdf RAZ_Podobnik_Janez_2020.pdf 1 E12833DCCC9AD46A9447DEACA6917676 5b91f6902424a7dd40636608318d46659e6d82488e44a9dd229c0dc3f81c820e 0039cebf-7f5b-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=153304 https://www.mdpi.com/1424-8220/20/21/6136 1 c68b1b1a-7f5a-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=153303 Fakulteta za elektrotehniko 0 0 0