Smell Print: CMS-SEN Model for Odor Perception
Keywords:
Odorants, Odor analysis, Odor encoding, Smell-print, ReceptorsAbstract
Smell printing is a novel technical term that integrated with two intra activities - odor analysis and odor encoding. The step of Smell Printing into various applications proves its greater influence towards the solution of many problems like human identification, finding severity of pollutants in the environment, gas leakages, food spoilages and many more. The odor is the unique biological feature that any specimen on the universe holds and they can be identified by their distinctive trademark which has become the core idea behind the work. This work illustrates the study of odor, criteria of odor of a specific object and the process of encoding chemicals structure of odorants. Comparison is made between two traditional olfaction systems of humans and canines based on the receptors they possess individually which gives the clarification of olfaction in the identification of any specimen. This work also projects the Cogno Monitoring System (CMS) by combining the typical traits of both the olfaction systems with Sensing-Encoding-Notifying (SEN) Model.
References
R. Lathwal, V.K. Saroha, "A Study on Biometric Technology and Access Control System: Network Security", International Journal of Computer Sciences and Engineering, Vol.2, Issue.7, pp.31-35, 2014.
N.Krishnaraj, "Feature Extraction Techniques in Keystroke Dynamics for Securing Personal Devices", International Journal of Computer Sciences and Engineering, Vol.3, Issue.3, pp.98-101, 2015.
CG Igiri, OE Taylor, Orji Friday, "Human Activity Recognition Using Smartphones Sensors for Ambient Assisted Living", International Journal of Computer Sciences and Engineering, Vol.9, Issue.2, pp.5-11, 2021.
Bonalle,S. David,G. Salow, "Method and system for smellprint recognition biometrics on a smartcard." U.S. Patent No. 7,314,165. 1 Jan. 2008.
V. Cuzuel, G. Cognon,I. Rivals, C. Sauleau,F. Heulard,D. Thiébaut, J. Vial, "Origin, analytical characterization, and use of human odor in forensics." Journal of forensic sciences Vol. 62, Issue. 2, pp.330-350., 2017.
Gardner, W. Julian , Hyun Woo Shin, L. Hines. Evor, "An electronic nose system to diagnose illness." Sensors and Actuators B: Chemical Vol. 70, Issue. (1-3), pp.19-24. 2000.
Jenkins, Eileen K., Mallory T. DeChant, Erin B Perry, "When the nose doesn’t know: Canine olfactory function associated with health, management, and potential links to microbiota." Frontiers in veterinary science 5, p.56. 2018.
Kanakam, Prathyusha, S. Mahaboob Hussain, A. S. N. Chakravarthy, "Cogno-Detective System for Body Odor Sensing." In 2017 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), pp. 1-3. IEEE, 2017.
Kanakam, Prathyusha, S. Mahaboob Hussain,A. S. N. Chakravarthy,"Electronic noses: Forestalling fire disasters: A technique to prevent false fire alarms and fatal casualties." In 2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), pp. 1-6. IEEE, 2015.
Kanakam, Prathyusha, S. Mahaboob Hussain, A. S. N. Chakravarthy, "Smart-Trace: A Future Security Aid Using Body Odor Sensing of an Individual with IoT." In Proceedings of 3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT), pp. 26-27. 2018.
Keller, E. Paul, J. Lars Kangas, H. Lars Liden, Sherif Hashem, T. Richard Kouzes, "Electronic noses and their applications." In World Congress on Neural Networks (WCNN), pp. 928-931. 1995.
Prathyusha, Kanakam, A. S. N. Chakravarthy, "Chemical Sensing Through Cogno-Monitoring System for Air Quality Evaluation." In Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough, pp. 27-37. Springer, Cham, 2020.
Seesaard, Thara, S. Seaon, P. Lorwongtragool, T. Kerdcharoen, "On-cloth wearable E-nose for monitoring and discrimination of body odor signature." In 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), pp. 1-5. IEEE, 2014.
Smeets, A.M. Monique, A.E. Egge Rosing, M. Doris Jacobs, Ewoud van Velzen, Jean H. Koek, Cor Blonk, Ilse Gortemaker et al. "Chemical fingerprints of emotional body odor." Metabolites Vol. 10,Issue. 3 p. 84. 2020.
Thomas-Danguin, Thierry, Charlotte Sinding, Sébastien Romagny, Fouzia El Mountassir, Boriana Atanasova, Elodie Le Berre, Anne-Marie Le Bon, Gérard Coureaud, "The perception of odor objects in everyday life: a review on the processing of odor mixtures." Frontiers in psychology 5.,p. 504. 2014 .
Wongchoosuk, Chatchawal, Taweesak Youngrod, Hirihattaya Phetmung, Mario Lutz, Theeraporn Puntheeranurak, Teerakiat Kerdcharoen, "Identification of people from armpit odor region using networked electronic nose." In 2011 Defense Science Research Conference and Expo (DSR), pp. 1-4. IEEE, 2011.
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