izpis_h1_title_alt

Centre of pressure estimation during walking using only inertial-measurement units and end-to-end statistical modelling
ID Podobnik, Janez (Avtor), ID Kraljić, David (Avtor), ID Zadravec, Matjaž (Avtor), ID Munih, Marko (Avtor)

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Izvleček
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.

Jezik:Angleški jezik
Ključne besede:gait analysis, inertial measurement units, gait model, estimation of centre of pressure, artificial neural networks, wearable sensors, balance, rehabilitation
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FE - Fakulteta za elektrotehniko
Status publikacije:Objavljeno
Različica publikacije:Objavljena publikacija
Leto izida:2020
Št. strani:20 str.
Številčenje:Vol. 20, iss. 21, art. 6136
PID:20.500.12556/RUL-134712 Povezava se odpre v novem oknu
UDK:681.586
ISSN pri članku:1424-8220
DOI:10.3390/s20216136 Povezava se odpre v novem oknu
COBISS.SI-ID:34924291 Povezava se odpre v novem oknu
Datum objave v RUL:27.01.2022
Število ogledov:943
Število prenosov:146
Metapodatki:XML DC-XML DC-RDF
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Gradivo je del revije

Naslov:Sensors
Skrajšan naslov:Sensors
Založnik:MDPI
ISSN:1424-8220
COBISS.SI-ID:10176278 Povezava se odpre v novem oknu

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:01.11.2020

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:analiza hoje, inercialna merilna enota, modeli hoje, ocena prijemališča sile, nevronske mreže, nosljivi senzorji

Projekti

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:P2-0228
Naslov:Analiza in sinteza gibanja pri človeku in stroju

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:J2-8172
Naslov:Mehanizmi vzdrževanja dinamičnega ravnotežja med hojo človeka

Financer:EC - European Commission
Program financ.:H2020
Številka projekta:731931
Naslov:The CYBERnetic LowEr-Limb CoGnitive Ortho-prosthesis Plus Plus
Akronim:CYBERLEGs Plus Plus

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