Perception Aptitude improvement of an odor sensor: Model for a biologically inspired nose

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7914 LNCS, Issue , 2013, Pages 126-135

  Villarreal, B Lorena ^a   Gordillo, J L ^a  

^a SCHOOL OF ENGINEERING AND SCIENCES   (Mexico)

Author keywords

bio inspired nose model; chemical sensor model; nose system; nostrils; smell; smell sense

Indexed keywords

CHEMICAL SENSOR MODELING; NOSE SYSTEM; NOSTRILS; SMELL; SMELL SENSE;

PATTERN RECOGNITION;

CHEMICAL SENSORS;

EID: 84888262250     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38989-4_13     Document Type: Conference Paper

References (28)

1. Yasuda, G.: A Distributed Autonomous Control Architecture for Synchronization and Coordination of Multiple Robot Systems. In: 2012 Proceedings of Sice. Annual Conference (Sice), pp. 1864-1869 (2012)
2. Lochmatter, T., Martinoli, A., Wani, M.X.C., Casasent, D., Kurgan, L., Hu, T., Hafeez, K.: Simulation Experiments with Bio-Inspired Algorithms for Odor Source Localization in Laminar Wind Flow. In: Proceedings of the Seventh International Conference on Machine Learning and Applications, pp. 437-443 (2008)
3. Lochmatter, T., Martinoli, A., Khatib, O.: Tracking Odor Plumes in a Laminar Wind Field with Bio-inspired Algorithms. In: Khatib, O., Kumar, V., Pappas, G.J. (eds.) Experimental Robotics. STAR, vol. 54, pp. 473-482. Springer, Heidelberg (2009)
4. Huang, Q., Yu, Z., Zhang, W., Duan, X., Huang, Y., Li, K.: Generation of Humanoid Walking Pattern Based on Human Walking Measurement. In: 2008 8th IEEE-Ras International Conference on Humanoid Robots (Humanoids 2008), pp. 99-104 (2008)
5. Goldstein, E.B.: Sensation and Perception. Wadsworth, Cengage Learning, Canada (2010)
6. Browne, C., Stafford, K., Fordham, R.: The use of scent-detection dogs. Irish Veterinary Journal 59, 97-104 (2006)
7. Li, J., Meng, Q., Wang, Y., Zeng, M.: Odor source localization using a mobile robot in outdoor airflow environments with a particle filter algorithm. Autonomous Robots 30, 281-292 (2011)
8. Loutfi, A., Coradeschi, S., Karlsson, L., Broxvall, M.: Putting Olfaction into Action: Anchoring Symbols to Sensor Data Using Olfaction and Planning (2005)
9. Loutfi, A., Coradeschi, S., Lilienthal, A., Gonzalez, J.: Gas distribution mapping of multiple odour sources using a mobile robot. Robotica 27, 311-319 (2009)
10. Gardner, J., Bartlett, P.: A brief-history of electronic noses. Sensors and Actuators BChemical 18, 211-220 (1994)
11. Gonzalez-Jimenez, J., Monroy, J., Blanco, J.: The Multi-Chamber Electronic Nose-An Improved Olfaction Sensor for Mobile Robotics. Sensors 11, 6145-6164 (2011)
12. Crank, J.: The mathematics of diffusion. Oxford Univerity Press (1976)
13. Pashami, S., Lilienthal, A., Trincavelli, M.: Detecting Changes of a Distant Gas Source with an Array of MOX Gas Sensors. Sensors 12, 16404-16419 (2012)
14. Kowadlo, G., Russell, R.A.: Robot Odor Localization: A Taxonomy and Survey. The International Journal of Robotics Research 27, 869-894 (2008)
15. Miyatani, I., Ishida, H.: Active Stereo Nose: Using Air Curtain to Enhance the Directivity. 2010 IEEE Sensors, 1522-1525 (2010)
16. Lilienthal, A., Duckett, T.: Building gas concentration gridmaps with a mobile robot. Robotics and Autonomous Systems 48, 3-16 (2004)
17. Thomas, L., Xavier, R., Alcherio, M.: Odor Source Localization with Mobile Robots. Bulletin of the Swiss Society for Automatic Control 46, 11-14 (2007)
18. Zhao, K., Scherer, P., Hajiloo, S., Dalton, P.: Effect of anatomy on human nasal air flow and odorant transport patterns: Implications for olfaction. Chemical Senses 29, 365-379 (2004)
19. Craven, B., Paterson, E., Settles, G.: The fluid dynamics of canine olfaction: unique nasal airflow patterns as an explanation of macrosmia. Journal of the Royal Society Interface 7, 933-943 (2010)
20. Reddy, S.S., Ryan, M.W.: Turbinate Dysfunction: Focus on the role of the inferior turbinates in nasal airway obstruction. UTMB, Dept. of Otolaryngology (2003)
21. Hornung, D.E., Mozell, M.M. (eds.): Accessibility of odorant molecules to the receptors, New York (1981)
22. Pearce, T.C., Schiffman, S.S., Nagle, H.T., Gardner, J.W.: Handbook of Machine Olfaction Electronic Nose Technology (2003)
23. Hahn, I., Scherer, P.W., Mozell, M.M.: Velocity profiles measured for airflow through a large-scale model of the human nasal cavity. Modeling Physiol. 75, 2273-2287 (1993)
24. Ganong, W.F.: Review of medical physiology. Prentice Hall (1997)
25. Villarreal, B.L., Hassard, C., Gordillo, J.L.: Finding the Direction of an Odor Source by Using Biologically Inspired Smell System. In: Pavón, J., Duque-Méndez, N.D., Fuentes-Fernández, R. (eds.) IBERAMIA 2012. LNCS, vol. 7637, pp. 551-560. Springer, Heidelberg (2012)
26. Villarreal, B.L., Gordillo, J.L.: Method and artificial olfactive system. IMPI Instituto Mexicano de la Propiedad Intelectual, Mx/a/2012/014508, México (2012)
27. Lilienthal, A., Duckett, T.: A stereo electronic nose for a mobile inspection robot. In: Proceedings of the IEEE International Workshop on Robotic Sensing
28. Villarreal, B.L., Gordillo, J.L.: Directional Aptitude Analysis in Odor Source Localization Techniques for Rescue Robots Applications. In: 10th Mexican International Conference on Artificial Intelligence (MICAI), pp. 109-114 (2011)