Abstract

Human axillary odor produces gas from sweat which concentration will change depends on the activities and metabolism in the body. Sweat concentration can be used as information to determine body health. Nowadays, e-nose is widely used in medicine, food industry, agriculture, and biotechnology. An electronic nose (e-nose) is a device that mimics how the human nose works. This paper will build an e-nose with seven sensors from Figaro Taguchi series (TGS) sensors and one sensor from humidity and temperature sensors (SHT-15 series). The e-nose was used to obtain the human axillary odor in the morning, afternoon, and evening. Several classifiers are used in the classification process and the result showed that Random Forest with tuned hyperparameter produced the best result with an accuracy of 87.43%. By using the ANOVA f-test, it is showed that methane and ethanol from sensor TGS 2612 are the most significant gas in the classification process. The experimental result showed that human axillary odor produced different ethanol and methane gas concentration in the morning, afternoon, and evening.

Original languageEnglish
Title of host publicationProceedings of 2021 13th International Conference on Information and Communication Technology and System, ICTS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages161-166
Number of pages6
ISBN (Electronic)9781665440592
DOIs
Publication statusPublished - 2021
Event13th International Conference on Information and Communication Technology and System, ICTS 2021 - Virtual, Online, Indonesia
Duration: 20 Oct 202121 Oct 2021

Publication series

NameProceedings of 2021 13th International Conference on Information and Communication Technology and System, ICTS 2021

Conference

Conference13th International Conference on Information and Communication Technology and System, ICTS 2021
Country/TerritoryIndonesia
CityVirtual, Online
Period20/10/2121/10/21

Keywords

  • ANOVA
  • Axillary odor
  • Electronic nose
  • Ethanol
  • Methane
  • Random forest

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