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Pregled bibliografske jedinice broj: 491871

Real-time body orientation estimation based on two-layer stochastic filter architecture


Musić, Josip; Cecić, Mojmil; Zanchi, Vlasta
Real-time body orientation estimation based on two-layer stochastic filter architecture // Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije, 51 (2010), 3; 264-274 (međunarodna recenzija, članak, znanstveni)


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Naslov
Real-time body orientation estimation based on two-layer stochastic filter architecture

Autori
Musić, Josip ; Cecić, Mojmil ; Zanchi, Vlasta

Izvornik
Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije (0005-1144) 51 (2010), 3; 264-274

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Estimation; Orientation; Kalman filter; Particle filter; Two-layer architecture

Sažetak
The article presents real time rigid body orientation estimation using inertial and magnetic sensors. Based on the review of orientation estimation literature we suggest, as possible alternative to standard approaches, novel two-layer stochastic estimation filter architecture based on Kalman and particle filters combined into two layers. Two-layer architecture was chosen because it enables greater applicability via upgrade of already implemented Kalman or particle filters. Four two-layer filter architectures were designed, each one enabling different layer interaction. Estimation of human head orientation was chosen as a case example. Simulated data and batch head orientation measurement data were used to test the proposed architectures in terms of accuracy and computational efficiency and to select the best one in terms of aforementioned performance parameters. Selected architecture was then implemented in real time for human-computer interaction and was tested on several practical applications. Obtained results are presented and discussed and future research directions suggested.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Temeljne tehničke znanosti



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)

Avatar Url Vlasta Zanchi (autor)

Avatar Url Mojmil Cecić (autor)

Citiraj ovu publikaciju

Musić, Josip; Cecić, Mojmil; Zanchi, Vlasta
Real-time body orientation estimation based on two-layer stochastic filter architecture // Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije, 51 (2010), 3; 264-274 (međunarodna recenzija, članak, znanstveni)
Musić, J., Cecić, M. & Zanchi, V. (2010) Real-time body orientation estimation based on two-layer stochastic filter architecture. Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije, 51 (3), 264-274.
@article{article, year = {2010}, pages = {264-274}, keywords = {Estimation, Orientation, Kalman filter, Particle filter, Two-layer architecture}, journal = {Automatika : \v{c}asopis za automatiku, mjerenje, elektroniku, ra\v{c}unarstvo i komunikacije}, volume = {51}, number = {3}, issn = {0005-1144}, title = {Real-time body orientation estimation based on two-layer stochastic filter architecture}, keyword = {Estimation, Orientation, Kalman filter, Particle filter, Two-layer architecture} }
@article{article, year = {2010}, pages = {264-274}, keywords = {Estimation, Orientation, Kalman filter, Particle filter, Two-layer architecture}, journal = {Automatika : \v{c}asopis za automatiku, mjerenje, elektroniku, ra\v{c}unarstvo i komunikacije}, volume = {51}, number = {3}, issn = {0005-1144}, title = {Real-time body orientation estimation based on two-layer stochastic filter architecture}, keyword = {Estimation, Orientation, Kalman filter, Particle filter, Two-layer architecture} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Uključenost u ostale bibliografske baze podataka:


  • INSPEC
  • EBSCO





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