Volatile organic compounds recognition using a smartphone camera and fluorometric sensors

Jungmo Ahn, Hyungi Kim, Jeong Gil Ko, Eunha Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Volatile organic compound (VOC) recognition systems can be helpful tools in monitoring today's living environments surrounded by harmful chemicals including dangerous VOCs. By designing a mobile system where users can easily detect VOC materials in their surroundings, people can avoid VOC-contained environments or take actions to improve their living conditions. Unfortunately, current VOC detection systems require bulky devices, and the current technology does not allow this detection and classification process to take place in real-time near the user. In this work, we introduce a novel VOC recognition process using a smartphone camera and paper-based fluorometric sensors. Fluorometric sensors will change their color patterns as they are exposed to different VOC materials and the smartphone camera combined with simple machine learning algorithms can be used to classify different VOC materials. Specifically, we introduce how a fluorometric sensor dataset of different VOC materials is gathered, and present a set of preliminary machine learning algorithms for VOC classification using smartphones. Our results show up to ∼88% accuracy in classifying eight different types of VOC materials using an LDA model.

Original languageEnglish
Title of host publicationUbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers
PublisherAssociation for Computing Machinery, Inc
Pages1364-1371
Number of pages8
ISBN (Electronic)9781450359665
DOIs
Publication statusPublished - 2018 Oct 8
Event2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018 - Singapore, Singapore
Duration: 2018 Oct 82018 Oct 12

Publication series

NameUbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers

Other

Other2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018
CountrySingapore
CitySingapore
Period18/10/818/10/12

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All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Information Systems

Cite this

Ahn, J., Kim, H., Ko, J. G., & Kim, E. (2018). Volatile organic compounds recognition using a smartphone camera and fluorometric sensors. In UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers (pp. 1364-1371). (UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers). Association for Computing Machinery, Inc. https://doi.org/10.1145/3267305.3274185