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Pregled bibliografske jedinice broj: 305167

Model Based Inertial Sensing of Human Body Motion Kinematics in Sit-to-Stand Movement


Musić, Josip; Kamnik, Roman; Munih, Marko
Model Based Inertial Sensing of Human Body Motion Kinematics in Sit-to-Stand Movement // Proceedings of the 6th EUROSIM Congress on Modelling and Simulation (Vol. 1 & Vol. 2) / Zupančič B. , Karba R. , Blažič S. (ur.).
Ljubljana: ARGESIM - ARGE Simulation News, 2007. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 305167 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Model Based Inertial Sensing of Human Body Motion Kinematics in Sit-to-Stand Movement

Autori
Musić, Josip ; Kamnik, Roman ; Munih, Marko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 6th EUROSIM Congress on Modelling and Simulation (Vol. 1 & Vol. 2) / Zupančič B. , Karba R. , Blažič S. - Ljubljana : ARGESIM - ARGE Simulation News, 2007

ISBN
978-3-901608-32-2

Skup
6th EUROSIM Congress on Modelling and Simulation

Mjesto i datum
Ljubljana, Slovenija, 9-13.09.2007

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
lagrangian dynamics; sit-to-stand; extended kalman filter

Sažetak
In this paper the design and validation of three-segment human body model is presented. The model is aimed at reconstruction of motion trajectories of shank, thigh and HAT (Head-Arms- Trunk) segments in sit-to-stand transfer. For this purpose the Extended Kalman filter (EKF) is applied for fusion of model data and data acquired through measurements with low cost inertial motion sensors (consisting of accelerometers and rate gyroscopes). The simplifications, like motion constraint to sagittal plane, symmetry of movement, assumption of ideal joints, etc., are introduced in the model. Three-segment human body model is constructed using principles of Lagrangian dynamics resulting in three nonlinear, highly coupled second order differential equations. From these equations human body model in Matlab - Simulink environment is constructed and implemented. In conjunction with classical definition of angle, angular rate of change and angular acceleration one can get complete set of data describing human sit-to-stand movement. The inputs that were used in the modeling phase include moments at three joints (ankle, knee and hip joint) by using inverse dynamic approach and free-body diagram technique. Calculated moments include both active and passive joint moments. Several EKF architectures were tested in search for optimal performance. Model validation (in conjunction with EKF) was performed on simulated data using Matlab-Simulink environment, and on actual measurements data acquired with Optotrak optical motion analysis system. Obtained results are presented and discussed, and conclusions are drawn.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Temeljne tehničke znanosti, Drvna tehnologija



POVEZANOST RADA


Projekti:
023-0232006-1655 - Biomehanika ljudskih pokreta, upravljanje i rehabilitacija (Zanchi, Vlasta, MZOS ) ( POIROT)

Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split

Profili:

Avatar Url Josip Musić (autor)


Citiraj ovu publikaciju:

Musić, Josip; Kamnik, Roman; Munih, Marko
Model Based Inertial Sensing of Human Body Motion Kinematics in Sit-to-Stand Movement // Proceedings of the 6th EUROSIM Congress on Modelling and Simulation (Vol. 1 & Vol. 2) / Zupančič B. , Karba R. , Blažič S. (ur.).
Ljubljana: ARGESIM - ARGE Simulation News, 2007. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Musić, J., Kamnik, R. & Munih, M. (2007) Model Based Inertial Sensing of Human Body Motion Kinematics in Sit-to-Stand Movement. U: Zupančič B. , Karba R. , Blažič S. (ur.)Proceedings of the 6th EUROSIM Congress on Modelling and Simulation (Vol. 1 & Vol. 2).
@article{article, year = {2007}, pages = {Vol. 1 (226) ; Vol. 2 (elektronski oblik)}, keywords = {lagrangian dynamics, sit-to-stand, extended kalman filter}, isbn = {978-3-901608-32-2}, title = {Model Based Inertial Sensing of Human Body Motion Kinematics in Sit-to-Stand Movement}, keyword = {lagrangian dynamics, sit-to-stand, extended kalman filter}, publisher = {ARGESIM - ARGE Simulation News}, publisherplace = {Ljubljana, Slovenija} }
@article{article, year = {2007}, pages = {Vol. 1 (226) ; Vol. 2 (elektronski oblik)}, keywords = {lagrangian dynamics, sit-to-stand, extended kalman filter}, isbn = {978-3-901608-32-2}, title = {Model Based Inertial Sensing of Human Body Motion Kinematics in Sit-to-Stand Movement}, keyword = {lagrangian dynamics, sit-to-stand, extended kalman filter}, publisher = {ARGESIM - ARGE Simulation News}, publisherplace = {Ljubljana, Slovenija} }




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