Pregled bibliografske jedinice broj: 906756
A method for body posture classification of three- dimensional body models in the sagittal plane
A method for body posture classification of three- dimensional body models in the sagittal plane // Textile research journal, 89 (2019), 2; 133-149 doi:10.1177/0040517517741155 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 906756 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A method for body posture classification of three- dimensional body models in the sagittal plane
Autori
Mahnić Naglić, Maja ; Petrak, Slavenka
Izvornik
Textile research journal (0040-5175) 89
(2019), 2;
133-149
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
body posture classification method, three-dimensional body scanner, sagittal plane, garment construction
Sažetak
The main purpose of this research was to develop a method for the classification of body posture types, using a three-dimensional body scanner and data on anthropometric measurement. A sample of 102 male test subjects, aged from 20 to 30 years, and without structural deformities of the locomotor system, were scanned. Anthropometric body measurement was performed and 16 measurements were selected to calculate upper and lower body curve angles as a set of posture indicators. The number of maximally different groups of test subjects was determined using k-means cluster analysis and factor analysis of established posture indicators. The sampling into three upper and three lower posture types showed the largest statistically significant differentiation, comparing the results of variance analysis between and within the obtained groups, which confirmed three main components extracted by factor analysis. Discriminant analysis used in order to determine differences between posture types showed which indicators are the most important when classifying test subjects belonging to a particular upper or lower posture type. Classification functions were defined based on discrimination functions and their factor loadings, and used to calculate a matrix of correctly classified test subjects. The classification matrix showed very high prediction possibility of established posture indicators and the proposed method for body posture classification.
Izvorni jezik
Engleski
Znanstvena područja
Tekstilna tehnologija
POVEZANOST RADA
Projekti:
HRZZ-IP-2013-11-3011 - Primjena matematičkog modeliranja i inteligentnih algoritama pri konstrukciji odjeće (AMMIACC) (Rolich, Tomislav) ( CroRIS)
Ustanove:
Tekstilno-tehnološki fakultet, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- 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::
- BIOSIS Previews (Biological Abstracts)
- CA Search (Chemical Abstracts)
- AATA Online
- Applied Mechanics Reviews
- Applied Science & Technology Index
- Conservation Literature
- Rapra Abstracts