A morphometries analysis method for craniofacial differences of ancient humans

Tetri Widiyani, Yukari Shirota, Riri Fitri Sari

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

In the paper, we present the way of using the statistical shape analysis methods, by using the ancient human fossil craniofacial form data. In Indonesia, Homo floresiensis was discovered in the isolated island named Flores. The controversial issue rose whether Homo floresiensis was a microcephalic modern human or a new species. Then we analyze the deformations of Homo floresiensis from Homo sapiens and Homo erectus. As the deformation analysis method, we used the new morphometric statistical analysis which is called the statistical shape analysis or the geometry driven statistics analysis. The resultant partial warp data show distinctive features among them and we can verify that the method is accurate for analyzing the craniofacial differences of ancient humans.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Automation, Cognitive Science, Optics, Micro Electro-Mechanical System, and Information Technology, ICACOMIT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages22-27
Number of pages6
ISBN (Electronic)9781538605103
DOIs
Publication statusPublished - 9 Jan 2018
Event2nd International Conference on Automation, Cognitive Science, Optics, Micro Electro-Mechanical System, and Information Technology, ICACOMIT 2017 - Jakarta, Indonesia
Duration: 23 Oct 2017 → …

Publication series

NameProceedings of the 2nd International Conference on Automation, Cognitive Science, Optics, Micro Electro-Mechanical System, and Information Technology, ICACOMIT 2017
Volume2018-January

Conference

Conference2nd International Conference on Automation, Cognitive Science, Optics, Micro Electro-Mechanical System, and Information Technology, ICACOMIT 2017
CountryIndonesia
CityJakarta
Period23/10/17 → …

Keywords

  • Homo floresiensis
  • morphometries
  • partial warps
  • statistical shape analysis

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