Evaluation of vibration measurements on human face using median and maximum frequencies

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Umit Ak M., BİLGİN S., ORAL O., Feza Carlak H. F., Tunga Derin A., DERİN N.

IET Science, Measurement and Technology, vol.14, no.8, pp.853-856, 2020 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 14 Issue: 8
  • Publication Date: 2020
  • Doi Number: 10.1049/iet-smt.2019.0381
  • Journal Name: IET Science, Measurement and Technology
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, Civil Engineering Abstracts
  • Page Numbers: pp.853-856
  • Keywords: vibration measurement, biological tissues, biomechanics, signal processing, mechanical engineering computing, vibration measurements, median frequencies, maximum frequencies, human tissues, human face tissues, vibration signals, external vibration source, frequency value, frequency characteristics, median frequency values, maximum frequency values, low-frequency signals, high-frequency signals, EXPOSURE
  • Open Archive Collection: AVESIS Open Access Collection
  • Akdeniz University Affiliated: Yes

Abstract

© The Institution of Engineering and Technology 2020There are some studies in the literature in order to make the interpretation of human tissues having different characteristics. Some of these studies focused on the evaluation of human face tissues. Vibration signals generated from vocal cords have been used in these studies about human face tissues. However, any study using the vibration signals recorded by applying the external vibration source having fixed frequency value is not available in the literature. In this study, it is aimed to investigate the frequency characteristics of the vibration signals recorded from the human face. These signals obtained from nine different regions on the faces of subjects are analysed using frequency characteristics. In the analysis stage, median and maximum frequency values are calculated and evaluated. So, the softness and hardness interpretation about these regions on the face can be made and the frequency ranges of these regions can be determined. As a result, it is observed that low-frequency signals are dominant in hard regions and high-frequency signals are dominant in soft regions.