Pregled bibliografske jedinice broj: 161705
Clustering Analysis of Human Gait Data
Clustering Analysis of Human Gait Data // Proc. of Int. Symposium on Computer Methods in Biomechanics and Biomedical Engineering -3 / J. Middleton, ML. Jones, NG. Shrive, GN. Pande (ur.).
Lisabon, Portugal: Gordon and Breach Science Publishers, 1999. str. 283-288 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 161705 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Clustering Analysis of Human Gait Data
Autori
Zanchi, Vlasta ; Grujić-Šupuk, Tamara ; Papić, Vladan ; Cecić, Mojmil ; Cecić, Suzana
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proc. of Int. Symposium on Computer Methods in Biomechanics and Biomedical Engineering -3
/ J. Middleton, ML. Jones, NG. Shrive, GN. Pande - : Gordon and Breach Science Publishers, 1999, 283-288
Skup
Int. Symposium on Computer Methods in Biomechanics and Biomedical Engineering -3
Mjesto i datum
Lisabon, Portugal, 13.09.1999. - 16.09.1999
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
human gait; kinematics; clustering analysis; gait quality
Sažetak
In this paper a technique for automatic classification of the kinematics data collected during gait has been developed. Data is obtained from the measured trails carried out on the group of 18 persons (free walking). For the data classification, cluster method is used. According to the clustering results, gait quality is classified into three classes: high quality gait, normal gait and low quality gait. After that, the measurements on another 6 individuals, walking on treadmill, were done with intention to investigate the differences between free walk and treadmill walk. Gait data results are compared and presented for 5 gait phases.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
0023022
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split
