Intelligent E-Cigarette: An IoT-Driven Semantic Approach for Managing Smoking Habits and Promoting Healthier Behaviours
Keywords:
Internet of Things, Sensors; Semantic Web, e-Cigarettes, Vital Signs, Health.Abstract
This research presents an innovative approach aimed at designing an intelligent connected e-cigarette. The approach involves seamlessly integrating Semantic Web, Internet of Things (IoT) technologies and vital signs monitoring to effectively reduce tobacco consumption. The design of the smart connected e-cigarette is rooted within the IoT architecture incorporating edge, fog, and cloud layers to ensure both efficiency and scalability in handling real-time data, it incorporates also a sophisticated array of sensors and wearable devices. The integration of diverse devices results in a holistic data aggregation under different contexts. This comprehensive dataset becomes a cornerstone for improved analysis, precise inference, and personalized interventions. In addition, the design adopts a semantic modelling framework, including an ontology, semantic properties and SWRL rules, to strengthen the intelligence and responsiveness of the e-cigarette by uncovering hidden patterns within smokers' behaviour. A key element which is the smoker's RDF model is highlighted, it contains all knowledge about smoker allowing a transparent exchange of data between different stakeholders. Furthermore, a prediction model for smoking cessation based on the Health Belief Model is presented, anticipating the possible impact on smokers’ beliefs and behaviours. The experimental study carried out along with this research confirms technical feasibility and widespread acceptance of this innovative design among smokers and demonstrates that they are more likely to reduce smoking habits if the device consistently informs them regarding deviations in their health status. The suggested Semantic IoT-based smart e-cigarette stands as a promising contribution to the ever-evolving landscape of smoking cessation solutions.
Downloads
References
Hartmann‐Boyce J, Hong B, Livingstone‐Banks J, Wheat H, Fanshawe TR. Additional behavioural support as an adjunct to pharmacotherapy for smoking cessation. Cochrane Database of Systematic Reviews. (6) (2019). doi: https://doi.org/10.1002/14651858.CD009670.pub4
Doll R, Peto R, Boreham J, Sutherland I. Mortality in relation to smoking: 50 years' observations on male British doctors. Bmj. Jun 24;328(7455):1519 (2004). doi: https://doi.org/10.1136/bmj.38142.554479.AE
World Health Organization. WHO report on the global tobacco epidemic: offer help to quit tobacco use. World Health Organization [online]. (2019). https://www.who.int/publications/i/item/9789241516204 (Accessed March 29, 2024).
Vangeli E, Stapleton J, Smit ES, Borland R, West R. Predictors of attempts to stop smoking and their success in adult general population samples: a systematic review. Addiction. 106(12):2110-21 (2011). DOI: https://doi.org/10.1111/j.1360-0443.2011.03565.x
Chen R, Pierce JP, Leas EC, Benmarhnia T, Strong DR, White MM, Stone M, Trinidad DR, McMenamin SB, Messer K. Effectiveness of e-cigarettes as aids for smoking cessation: evidence from the PATH Study cohort, 2017–2019. Tobacco Control. 1;32(e2):e145-52 (2023). doi: http://dx.doi.org/10.1136/tobaccocontrol-2021-056901
Dai H, Leventhal AM. Prevalence of e-cigarette use among adults in the United States, 2014-2018. Jama. 12;322(18):1824-7 (2019). doi: https://doi.org/10.1001/jama.2019.15331
Bals R, Boyd J, Esposito S, Foronjy R, Hiemstra PS, Jiménez-Ruiz CA, Katsaounou P, Lindberg A, Metz C, Schober W, Spira A. Electronic cigarettes: a task force report from the European Respiratory Society. European Respiratory Journal. 1;53(2) (2019). doi: https://doi.org/10.1183/13993003.01151-2018
A. Palavalli, D. Karri and S. Pasupuleti, "Semantic Internet of Things," IEEE Tenth International Conference on Semantic Computing (ICSC), Laguna Hills, CA, USA, pp. 91-95 (2016). doi: https://doi.org/10.1109/ICSC.2016.35
Dhanasekaran S, Andersen A, Karlsen R, Håkansson A, Henriksen A. Data collection and smart nudging to promote physical activity and a healthy lifestyle using wearable devices. 18th Scandinavian Conference on Health Informatics, Tromsø, Norway, pp. 154-158 (2022) doi: https://doi.org/10.3384/ecp187026
Lee, P. N., Forey, B. A., Thornton, A. J., & Coombs, K. J. The relationship of cigarette smoking in Japan to lung cancer, COPD, ischemic heart disease and stroke: A systematic review. 7 (2018). https://doi.org/10.12688/F1000RESEARCH.14002.1
Lewis, M. J., & Wackowski, O. Dealing with an innovative industry: a look at flavoured cigarettes promoted by mainstream brands. American Journal of Public Health, 96(2), 244-251 (2006). doi: https://doi.org/10.2105/AJPH.2004.061200
Nurwidya, F., Takahashi, F., Baskoro, H., Hidayat, M., Yunus, F., & Takahashi, K. Strategies for an effective tobacco harm reduction policy in Indonesia. Epidemiology and Health, 36 (2014). https://doi.org/10.4178/EPIH/E2014035
Krabbe, B., Espinola-Klein, C., Malyar, N., Brodmann, M., Mazzolai, L. Belch, J. J. F. Health effects of e-cigarettes and their use for smoking cessation from a vascular perspective: A consensus statement of the German Society of Vascular Medicine endorsed by the European Society of Vascular Medicine. Vasa, 52(2), 81–85 (2023). https://doi.org/10.1024/0301-1526/a001056
Breland, A., Soule, E., Lopez, A., Ramôa, C., El‐Hellani, A., & Eissenberg, T. Electronic cigarettes: what are they and what do they do?. Annals of the New York Academy of Sciences, 1394(1), 5-30 (2017). doi: https://doi.org/10.1111/nyas.12977
Feeney, S., Rossetti, V., & Terrien, J. E-Cigarettes—a review of the evidence—harm versus harm reduction. Tobacco Use Insights, 15, (2022). https://doi.org/10.1177/1179173X221087
Hart, J. Normal resting pulse rate ranges. Journal of Nursing Education and Practice, 5(8) 95-98 (2015). https://doi.org/10.5430/JNEP.V5N8P95
Martinez-Morata, I., Sanchez, T. R., Shimbo, D., & Navas-Acien, A. Electronic cigarette use and blood pressure endpoints: a systematic review. Current hypertension reports, 23, 1-10 (2021). https://doi.org/10.1007/S11906-020-01119-0
Abraham, C. and Sheeran, P. The Health Belief Model. In: Conner, M. and Norman, P., Eds., Predicting Health Behaviour: Research and Practice with Social Cognition Models, 2nd Edition, Open University Press, Maidenhead, 28-80 (2005).
Khan, Y., Ostfeld, A. E., Lochner, C. M., Pierre, A., & Arias, A. C. Monitoring of vital signs with flexible and wearable medical devices. Advanced materials, 28(22), 4373-4395 (2016). https://doi.org/10.1002/ADMA.201504366
Hassanalieragh, M., Page, A., Soyata, T., Sharma, G., Aktas, M., Mateos, G., ... & Andreescu, S. Health monitoring and management using Internet-of-Things (IoT) sensing with cloud-based processing: Opportunities and challenges. IEEE international conference on services computing pp. 285-292 (2015). https://doi.org/10.1109/SCC.2015.47
Chataut, R., Phoummalayvane, A., & Akl, R. (Unleashing the power of IoT: A comprehensive review of IoT applications and future prospects in healthcare, agriculture, smart homes, smart cities, and industry 4.0. Sensors, 23(16), 7194 2023). https://doi.org/10.3390/s23167194
Winden, T. J., Chen, E. S., Wang, Y., Sarkar, I. N., Carter, E. W., & Melton, G. B. Towards the standardized documentation of e-cigarette use in the electronic health record for population health surveillance and research. AMIA Summits on Translational Science Proceedings, 2015, 199 (2015). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4525250/
K. N. Prashanth Kumar, V. Ravi Kumar and K. Raghuveer. A Survey on Semantic Web Technologies for the Internet of Things. International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC), Mysore, India, pp. 316-322 (2017) doi: https://doi.org/10.1109/CTCEEC.2017.8454974
A. Hogan, A., & Hogan, A. Resource description framework. The Web of Data, 59-109 (2020). https://aidanhogan.com/wodata/book.pdf
Gyrard, A., Datta, S. K., & Bonnet, C. A survey and analysis of ontology-based software tools for semantic interoperability in IoT and WoT landscapes. IEEE 4th World Forum on Internet of Things (WF-IoT), Singapore, pp. 86-91 (2018). doi: https://doi.org/10.1109/WF-IoT.2018.8355
El Ali, A., Matviienko, A., Feld, Y., Heuten, W., & Boll, S. VapeTracker: Tracking Vapor Consumption to Help E-cigarette Users Quit. In: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems [Internet]. San Jose California USA: ACM; 2016 (Accessed Juin 02, 2024). p. 2049–56. Available from: https://dl.acm.org/doi/10.1145/2851581.2892318
Pulvers, K., Correa, J. B., Krebs, P., El Shahawy, O., Marez, C., Doran, N., & Myers, M. (2021). JUUL E-Cigarette Quit Attempts and Cessation Perceptions in College Student JUUL E-Cigarette Users. American Journal of Health Promotion, 35(5), 624–632. https://doi.org/10.1177/0890117120982408
Staal, Y. C., van de Nobelen, S., Havermans, A., & Talhout, R. (2018). New Tobacco and Tobacco-Related Products: Early Detection of Product Development, Marketing Strategies, and Consumer Interest. JMIR Public Health and urveillance, 4(2), e55. https://doi.org/10.2196/publichealth.7359
Tehrani, H., Rajabi, A., Ghelichi-Ghojogh, M., Nejatian, M., & Jafari, A. (2022). The prevalence of electronic cigarettes vaping globally: A systematic review and meta-analysis. Archives of Public Health = Archives Belges De Sante Publique, 80(1), 240. https://doi.org/10.1186/s13690-022-00998-w
G Pen Elite 2—Vape Guy. (n.d.). Retrieved June 02, 2024, from https://vapeguy.com/reviews/g-pen-elite-2/
Smok RPM 85: https://www.ecigarettedirect.co.uk/smok-rpm-85 (Accessed June 02, 2024)
Enovap. (n.d.). High Vaping. Retrieved May 28, 2024, from https://www.highvaping.com/products/enovap (Accessed June 02, 2024)
Pearson, J. L., Elmasry, H., Das, B., Smiley, S. L., Rubin, L. F., DeAtley, T., Harvey, E., Zhou, Y., Niaura, R., & Abrams, D. B. (2017). Comparison of Ecological Momentary Assessment Versus Direct Measurement of E-Cigarette Use With a Bluetooth-Enabled E-Cigarette: A Pilot Study. JMIR Research Protocols, 6(5), e84. https://doi.org/10.2196/resprot.6501
Ploom Tech: https://www.jt.com/media/news/2018/pdf/20181002_E02.pdf (Accessed June 02, 2024)
Hoek, J., & Freeman, B. (2019). BAT(NZ) draws on cigarette marketing tactics to launch Vype in New Zealand. Tobacco Control, 28(e2), e162–e163. https://doi.org/10.1136/tobaccocontrol-2019-054967
PAX 3 Review: Smarter, Faster, and Sleeker than Ever - Planet Of The Vapes. Available from: https://www.planetofthevapes.com/blogs/blog/pax-3-review (Accessed June 02, 2024)
Lopez-Meyer, P., Patil, Y., Tiffany, T., & Sazonov, E. (2013). Detection of Hand-to-Mouth Gestures Using a RF Operated Proximity Sensor for Monitoring Cigarette Smoking. The Open Biomedical Engineering Journal, 7(1), 41–49. https://doi.org/10.2174/1874120701307010041
Ali, A. A., Hossain, S. M., Hovsepian, K., Rahman, Md. M., Plarre, K., & Kumar, S. (2012). mPuff: Automated detection of cigarette smoking puffs from respiration measurements. 2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN), 269–280. https://doi.org/10.1109/IPSN.2012.6920942
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.
IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.
