Pregled bibliografske jedinice broj: 426868
Human Gait Data Mining by Symbol Based Descriptive Features
Human Gait Data Mining by Symbol Based Descriptive Features // Proceedings of XI World Congress on Medical Physics and Biomedical Engineering / Dossel and W.C. Schlegel (ur.).
München: Springer, 2009. str. 460-463 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 426868 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Human Gait Data Mining by Symbol Based Descriptive Features
Autori
Ergović, Vladimir ; Tonković, Stanko ; Medved, Vladimir
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of XI World Congress on Medical Physics and Biomedical Engineering
/ Dossel and W.C. Schlegel - München : Springer, 2009, 460-463
ISBN
978-3-642-03897-6
Skup
XI World Congress on Medical Physics and Biomedical Engineering
Mjesto i datum
München, Njemačka, 07.09.2009. - 12.09.2009
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
descriptive features; data mining; gait analysis
Sažetak
Most medical applications which include large dataset require search by example capability. Such similarity-based retrieval has attracted a great deal of attention in recent years. This paper proposes an approach for efficient processing of human gait by using symbolization of different features by means of feature description. We evaluated this approach against database that holds limited set of kinematics, kinetic and EMG data, describing simple step (a subset of standard gait variables). The measurement was performed in the Biomechanics Laboratory at the Faculty of Kinesiology, University of Zagreb, using 2002-ELITE system with Kistler platform (40 cm by 60 cm).
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Kliničke medicinske znanosti, Pedagogija
POVEZANOST RADA
Projekti:
034-0362979-2334 - Automatizirano mjerenje pokreta i ekspertna procjena u studiju lokomocije (Medved, Vladimir, MZOS ) ( CroRIS)
036-0362979-1554 - Neinvazivna mjerenja i postupci u biomedicini (Tonković, Stanko, MZO ) ( CroRIS)
098-0982560-2566 - Mjerenje i karakterizacija podataka iz stvarnog svijeta (Medved-Rogina, Branka, MZOS ) ( CroRIS)
Ustanove:
Kineziološki fakultet, Zagreb,
Fakultet elektrotehnike i računarstva, Zagreb
