A new approach to estimate anthropometric measurements by adaptive neuro-fuzzy inference system

Dursun Kaya M. D., Samet Hasiloglu A., Bayramoglu M., Yesilyurt H., Fahri Ozok A.

INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, cilt.32, sa.2, ss.105-114, 2003 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 32 Sayı: 2
  • Basım Tarihi: 2003
  • Doi Numarası: 10.1016/s0169-8141(03)00042-8
  • Dergi Adı: INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus
  • Sayfa Sayıları: ss.105-114
  • Anahtar Kelimeler: neuro-fuzzy, anthropometry, ergonomics, IDENTIFICATION
  • Atatürk Üniversitesi Adresli: Evet

Özet

Eighteen anthropometric measurements were taken in standing and sitting positions, from 387 subjects between 15 and 17 years old. "Adaptive Neuro-Fuzzy Inference System (ANFIS)" was used to estimate anthropometric measurements as an alternative to stepwise regression analysis. Six outputs (shoulder width, hip width, knee height, buttock-popliteal height, popliteal height, and height) were selected for estimation purpose. The results showed that the number of inputs required estimating outputs varied with sex difference. ANFIS perform better than stepwise regression method for both sex groups, as revealed by the standard deviations averaged over the six outputs: S-ANFIS = 0.776. S-Regression = 0.855 for boys and, S-ANFIS = 0.883, S-Regression = 1.027 for girls.