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J Cosmet Med 2022; 6(2): 84-88

Published online December 31, 2022

https://doi.org/10.25056/JCM.2022.6.2.84

Perfume matching system with internet of things-based body odor analysis sensing

Mi-Yun Yoon, PhD1 , Shin-Hyeong Choi, PhD2

1Department of Beauty Care, Pai Chai University, Daejeon, Rep. of Korea
2Division of Electrical, Control & Instrumentation Engineering, Kangwon National University, Samcheok, Rep. of Korea

Correspondence to :
Shin-Hyeong Choi
E-mail: cshinh@kangwon.ac.kr

Received: October 4, 2022; Revised: November 14, 2022; Accepted: November 14, 2022

© Korean Society of Korean Cosmetic Surgery

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Background: Beauty products and services stimulate consumers’ sensitivity, and their values increase as a result of mechanization and automation. Among five senses of human beings, the sense of smell is known as what people tend to remember for the longest time among five senses. Perfumes for olfactory expression can be used situationally and serve as a second layer of fashion. Moreover, the aroma of the same perfume may differ among individuals when it combines with skin-secreted body odors.
Objective: This study aims to provide basic data for the growth of smart beauty and perfume as a future high value-added market by developing a customized perfume service device that analyzes individual body odor and matches recommends personalized perfume via information technology (IT) and services.
Methods: This study develops a perfume recommendation system for store customers. The device employs a body odor analysis sensor to sense the body odors of customers; subsequently, it transmits the data to the management server through a network. The management server stores and manages each customer’s information in a database and uses it to generate personalized recommendation of perfume products.
Results: We collected data associated with body-odor-inducing substances using an appropriate sensor, and gathered the temperature and humidity data via internet of things (IoT) devices. The aforementioned sensory data were sent to the management server through communication modules and verified via smartphone using the JavaScript object notation (JSON) method.
Conclusion: The device analyzes constituent information relating to body odor and recommends suitable products to the customer, thereby improving customer satisfaction. Furthermore, the app developed in this study can contribute to the growth of the smart beauty and smart perfume industries as high value-added industries in future markets.

Keywords: beauty, body odor, internet of things, perfume

Fig. 1.The system structure. IoT, internet of things.
  1. Shin HI, Kim JS. Development smart cosmetic design applied by IoT technology. J Cult Prod Des 2017;49:125-32.
    CrossRef
  2. Kim S. The fourth industrial revolution - main concepts and cases -. KIET Mon Ind Econ 2017;5:67-80.
  3. Klaus S. The fourth industrial revolution. Seoul: Megastudy Books; 2016. p. 36-50.
  4. Lee EJ, Kim Y. The influence of experience of smart beauty service in 20s female college students on brand attitude and loyalty. J Basic Des Art 2019;20:377-92.
    CrossRef
  5. Im DY. A study on the perfume usage and purchase behavior of female college students. J Prod Res 2017;35:81-9.
    CrossRef
  6. Sastry SD, Buck KT, Janak J, Dressler M, Preti G. Volatiles emitted by humans. In: Waller GR, Dermer OC, editor. Biochemical applications of mass spectrometry. New York (NY): Wiley-Interscience; 1972. p. 1085-129.
  7. Labows JN, McGinley KJ, Kligman AM. Perspectives on axillary odor. J Soc Cosmet Chem Jpn 1982;33:193-202.
  8. Goetz N, Kaba G, Good D, Hussler G, Bore P. Detection and identification of volatile compounds evolved from human hair and scalp using headspace gas chromatography. J Soc Cosmet Chem 1988;39:1-13.
  9. Dormont L, Bessiere JM, Cohuet A. Human skin volatiles: a review. J Chem Ecol 2013;39:569-78.
    Pubmed CrossRef
  10. Costello EK, Lauber CL, Hamady M, Fierer N, Gordon JI, Knight R. Bacterial community variation in human body habitats across space and time. Science 2009;326:1694-7.
    Pubmed KoreaMed CrossRef
  11. Grice EA, Kong HH, Conlan S, Deming CB, Davis J, Young AC, et al. Topographical and temporal diversity of the human skin microbiome. Science 2009;324:1190-2.
    Pubmed KoreaMed CrossRef
  12. Swindell SR, Benson KH, Griffin HG, Renault P, Ehrlich SD, Gasson MJ. Genetic manipulation of the pathway for diacetyl metabolism in Lactococcus lactis. Appl Environ Microbiol 1996;62:2641-3.
    Pubmed KoreaMed CrossRef
  13. Hara T, Matsui H, Shimizu H. Suppression of microbial metabolic pathways inhibits the generation of the human body odor component diacetyl by Staphylococcus spp. PLoS One 2014;9:e111833.
    Pubmed KoreaMed CrossRef
  14. Zeng XN, Leyden JJ, Lawley HJ, Sawano K, Nohara I, Preti G. Analysis of characteristic odors from human male axillae. J Chem Ecol 1991;17:1469-92.
    Pubmed CrossRef
  15. Natsch A, Gfeller H, Gygax P, Schmid J, Acuna G. A specific bacterial aminoacylase cleaves odorant precursors secreted in the human axilla. J Biol Chem 2003;278:5718-27.
    Pubmed CrossRef
  16. Hasegawa Y, Yabuki M, Matsukane M. Identification of new odoriferous compounds in human axillary sweat. Chem Biodivers 2004;1:2042-50.
    Pubmed CrossRef
  17. Choi SK. Effect of sensation seeking tendencies of 20’s consumers on perfume pursuit benefits and perfume pursuit images. J Korean Soc Des Cult 2020;26:499-510.
    CrossRef
  18. Baron RA. Olfaction and human social behavior: effects of a pleasant scent on attraction and social perception. Personal Soc Psychol Bull 1981;7:611-6.
    CrossRef
  19. Yoh E. Exploratory research on perfume consumption and purchase behaviors. J Korean Home Econ Assoc 2004;42:177-93.
  20. Kucuk K, Bayılmış C, Msongaleli DL. Designing real-time IoT system course: prototyping with cloud platforms, laboratory experiments and term project. Int J Electr Eng Educ 2021;58:743-72.
    CrossRef
  21. Sim S, Choi H. A study on the service discovery support method in the IoT environments. Int J Electr Eng Educ 2020;57:85-96.
    CrossRef
  22. Rai A, Jagadeesh KR. Consensus-based decision making in non-linearly multi-coupled IoT networked SLAM operations. Int J Electr Eng Educ 2019. doi: 10.1177/0020720919883797. [Epub ahead of print]
    CrossRef

Article

Original Article

J Cosmet Med 2022; 6(2): 84-88

Published online December 31, 2022 https://doi.org/10.25056/JCM.2022.6.2.84

Copyright © Korean Society of Korean Cosmetic Surgery.

Perfume matching system with internet of things-based body odor analysis sensing

Mi-Yun Yoon, PhD1 , Shin-Hyeong Choi, PhD2

1Department of Beauty Care, Pai Chai University, Daejeon, Rep. of Korea
2Division of Electrical, Control & Instrumentation Engineering, Kangwon National University, Samcheok, Rep. of Korea

Correspondence to:Shin-Hyeong Choi
E-mail: cshinh@kangwon.ac.kr

Received: October 4, 2022; Revised: November 14, 2022; Accepted: November 14, 2022

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background: Beauty products and services stimulate consumers’ sensitivity, and their values increase as a result of mechanization and automation. Among five senses of human beings, the sense of smell is known as what people tend to remember for the longest time among five senses. Perfumes for olfactory expression can be used situationally and serve as a second layer of fashion. Moreover, the aroma of the same perfume may differ among individuals when it combines with skin-secreted body odors.
Objective: This study aims to provide basic data for the growth of smart beauty and perfume as a future high value-added market by developing a customized perfume service device that analyzes individual body odor and matches recommends personalized perfume via information technology (IT) and services.
Methods: This study develops a perfume recommendation system for store customers. The device employs a body odor analysis sensor to sense the body odors of customers; subsequently, it transmits the data to the management server through a network. The management server stores and manages each customer’s information in a database and uses it to generate personalized recommendation of perfume products.
Results: We collected data associated with body-odor-inducing substances using an appropriate sensor, and gathered the temperature and humidity data via internet of things (IoT) devices. The aforementioned sensory data were sent to the management server through communication modules and verified via smartphone using the JavaScript object notation (JSON) method.
Conclusion: The device analyzes constituent information relating to body odor and recommends suitable products to the customer, thereby improving customer satisfaction. Furthermore, the app developed in this study can contribute to the growth of the smart beauty and smart perfume industries as high value-added industries in future markets.

Keywords: beauty, body odor, internet of things, perfume

Fig 1.

Figure 1.The system structure. IoT, internet of things.
Journal of Cosmetic Medicine 2022; 6: 84-88https://doi.org/10.25056/JCM.2022.6.2.84

References

  1. Shin HI, Kim JS. Development smart cosmetic design applied by IoT technology. J Cult Prod Des 2017;49:125-32.
    CrossRef
  2. Kim S. The fourth industrial revolution - main concepts and cases -. KIET Mon Ind Econ 2017;5:67-80.
  3. Klaus S. The fourth industrial revolution. Seoul: Megastudy Books; 2016. p. 36-50.
  4. Lee EJ, Kim Y. The influence of experience of smart beauty service in 20s female college students on brand attitude and loyalty. J Basic Des Art 2019;20:377-92.
    CrossRef
  5. Im DY. A study on the perfume usage and purchase behavior of female college students. J Prod Res 2017;35:81-9.
    CrossRef
  6. Sastry SD, Buck KT, Janak J, Dressler M, Preti G. Volatiles emitted by humans. In: Waller GR, Dermer OC, editor. Biochemical applications of mass spectrometry. New York (NY): Wiley-Interscience; 1972. p. 1085-129.
  7. Labows JN, McGinley KJ, Kligman AM. Perspectives on axillary odor. J Soc Cosmet Chem Jpn 1982;33:193-202.
  8. Goetz N, Kaba G, Good D, Hussler G, Bore P. Detection and identification of volatile compounds evolved from human hair and scalp using headspace gas chromatography. J Soc Cosmet Chem 1988;39:1-13.
  9. Dormont L, Bessiere JM, Cohuet A. Human skin volatiles: a review. J Chem Ecol 2013;39:569-78.
    Pubmed CrossRef
  10. Costello EK, Lauber CL, Hamady M, Fierer N, Gordon JI, Knight R. Bacterial community variation in human body habitats across space and time. Science 2009;326:1694-7.
    Pubmed KoreaMed CrossRef
  11. Grice EA, Kong HH, Conlan S, Deming CB, Davis J, Young AC, et al. Topographical and temporal diversity of the human skin microbiome. Science 2009;324:1190-2.
    Pubmed KoreaMed CrossRef
  12. Swindell SR, Benson KH, Griffin HG, Renault P, Ehrlich SD, Gasson MJ. Genetic manipulation of the pathway for diacetyl metabolism in Lactococcus lactis. Appl Environ Microbiol 1996;62:2641-3.
    Pubmed KoreaMed CrossRef
  13. Hara T, Matsui H, Shimizu H. Suppression of microbial metabolic pathways inhibits the generation of the human body odor component diacetyl by Staphylococcus spp. PLoS One 2014;9:e111833.
    Pubmed KoreaMed CrossRef
  14. Zeng XN, Leyden JJ, Lawley HJ, Sawano K, Nohara I, Preti G. Analysis of characteristic odors from human male axillae. J Chem Ecol 1991;17:1469-92.
    Pubmed CrossRef
  15. Natsch A, Gfeller H, Gygax P, Schmid J, Acuna G. A specific bacterial aminoacylase cleaves odorant precursors secreted in the human axilla. J Biol Chem 2003;278:5718-27.
    Pubmed CrossRef
  16. Hasegawa Y, Yabuki M, Matsukane M. Identification of new odoriferous compounds in human axillary sweat. Chem Biodivers 2004;1:2042-50.
    Pubmed CrossRef
  17. Choi SK. Effect of sensation seeking tendencies of 20’s consumers on perfume pursuit benefits and perfume pursuit images. J Korean Soc Des Cult 2020;26:499-510.
    CrossRef
  18. Baron RA. Olfaction and human social behavior: effects of a pleasant scent on attraction and social perception. Personal Soc Psychol Bull 1981;7:611-6.
    CrossRef
  19. Yoh E. Exploratory research on perfume consumption and purchase behaviors. J Korean Home Econ Assoc 2004;42:177-93.
  20. Kucuk K, Bayılmış C, Msongaleli DL. Designing real-time IoT system course: prototyping with cloud platforms, laboratory experiments and term project. Int J Electr Eng Educ 2021;58:743-72.
    CrossRef
  21. Sim S, Choi H. A study on the service discovery support method in the IoT environments. Int J Electr Eng Educ 2020;57:85-96.
    CrossRef
  22. Rai A, Jagadeesh KR. Consensus-based decision making in non-linearly multi-coupled IoT networked SLAM operations. Int J Electr Eng Educ 2019. doi: 10.1177/0020720919883797. [Epub ahead of print]
    CrossRef

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