Abstract
People can usually sense troubles in a car from noises, vibrations, or smells. An experienced driver can even tell where the problem is. We call this kind of skill ‘Ambient Diagnostics’.
Ambient Diagnostics is an emerging field that is aimed at detecting abnormities from seemly disconnected ambient data that we take for granted. For example, the human body is a rich ambient data source: temperature, pulses, gestures, sound, forces, moisture, et al. Also, many electronic devices provide pervasive ambient data streams, such as mobile phones, surveillance cameras, satellite images, personal data assistants, wireless networks and so on.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Spiteri, M.A., Cook, D.G., Clarke, S.W.: Reliabilty of eliciting physical signs in examination of the chest. Lancet 2, 873–875 (1988)
Pasterkamp, H., Kraman, S.S., Wodicka, G.R.: Respiratory sounds: advances beyond the stethoscope. American Journal of Respiratory Critical Care Medicine 156, 974–987 (1997)
Anderson, K., Qiu, Y., Whittaker, A.R., Lucas, M.: Breath sounds, asthma, and the mobile phone. Lancet 358, 1343–1344 (2001)
Kaiser, R.: Smart toilet a sure sign of future technology. Chicago Tribune (December 23, 2000)
Bodymedia, www.bodymedia.com
Givenimaging, www.givenimaging.com
McDermott, M.M., et al.: Functional Decline in Peripheral Arterial Disease: Associations With the Ankle Brachial Index and Leg Symptoms. JAMA 292, 453–461 (2004)
Yu, H., MacGregor, J., Haarsma, G., Bourg, W.: Digital Imaging for Online Monitoring and Control of Industrial Snack Food Processes. Ind. Eng. Chem. Res. 42, 3036–3044 (2003)
Cai, Y.: Trajectory Mapping for Landmine Detection. In: Sloot, P.M.A., et al. (eds.) Computational Science, ICCS 2003, Part III. LNCS, vol. 2657. Springer, Heidelberg (2003)
Hornbeckz, R.W.: Numerical Methods. Printice-Hall, Inc., Englewood Cliffs (1995)
Wu, H., Siegel, M., Stiefelhagen, R., Yang, J.: Sensor Fusion Using Dempster-Shafer Theory. In: The Proceedings of IMTC 2002, Anchorage, AK, USA, May 21-23 (2002)
Wu, H., Siegel, M., Khosla, P.: Vehicle Sound Signature Recognition by Frequency Principle Component Analysis. In: The Proceedings of IMTC 1998, selected in the IEEE Transaction on Instrumentation and Measurement, vol. 48(5), pp. 1005–1009 (October 1999) ISSN 0018-9456
Feigenbaum, E.A., Simon, H.A.: EPAM-Like model of recognition and learning. Cognition Science 8, 305–360 (1984)
Zadeh, L.: Fuzzy Sets. Journal of Information and Control 8, 338–353 (1965)
Cai, Y., Hu, Y., Siegel, M., Gollapalli, S., Venugopal, A., Bardak, U.: Onboard Feature Indexing from Satellite Lidar Images. In: IEEE IWADC, Perugia, Italy (2003)
Post, F.H., Nielson, G.M., Bonneau, G.-P. (eds.): Data Visualization: The State of the Art Series. The Kluwer International Series in Engineering and Computer Science, vol. 713 (2002), http://www.springeronline.com/sgw/cda/frontpage/0,11855,5-149-69-33109107-0,00.html
Schroeder, W., Martin, K., Lorensen, B.: The Visualization Toolkit, 2nd edn. Prentice Hall, PTR, Englewood Cliffs (1998)
Hraralick, R.M., Shanmugam, K., Dinstein, I.: Texture features for image classifaction. IEEE Transactions Systems, Man and Cybernetice 3, 610–621 (1973)
Cai, Y.: A novel imaging system for tongue inspection. In: IEEE Instrumentation and Measurement Technology Conference, AK, USA (May 2002)
Yao, P.: Comparison of TCM Tongue Images with Gastroscopy Images. Shangdong S&T Publisher (1996) (in Chinese) ISBN 7-5331-1849-9
Li, N.M.: 130 cases of tongue analysis for liver patients. Journal of TCM & Western Medicine 6(3) (1986) (in Chinese)
Chang, R., Chen, R.S.: Clinical studies for tongues of lung cancer patients. Journal of New TCM 7 (1987) (in Chinese)
China Cancer Society & TCM Group.: 12448 clinical case studies of cancer patients’ tongue images. Lung Cancer 7(3) (1987) (in Chinese)
Chen, Z.L., et al.: 1046 case studies of cancer patients’ tongues. Journal of TCM & Western Medicine 1(2) (1981) (in Chinese)
Fang, D.R., Li, R.F., Li, X., Fang, G.X.: Stomach cancer patients’ tongue images and analysis. Journal of TCM 10 (1991) (in Chinese)
Zhang, E.: Diagnostics of Traditional Chinese Medicine. Publishing House of Shanghai University of Traditional Chinese Medicine (1990) (in both Chinese and English) ISBN 7-81010-125-0
McCamy, C.S., et al.: A Color Rendition Chart. Journal of Applied Photographic Engineering, Summer Issue 1976 2(3), 95–99 (1976)
Parker, J.R.: Algorithms for Image Processing and Computer Vision. Wiley Computer Publishing, Chichester (1976)
Akgul, Y.S., et al.: Automatic Extraction and Tracking of the Tongue Contours. IEEE Trans. on Medical Imaging 18(10) (October 1999)
Watsuji, T., Arita, S., Shinohara, S., Kitade, T.: Medical Application of Fuzzy Theory to the Diagnostic System of Tongue Inspection in Traditional Chinese Medicine. In: IEEE International Fuzzy Systems Conference Proceedings, pp. 145–148 (1999)
Jang, J.H., Kim, J.E., Park, K.M., Park, S.O., Chang, Y.S., Kim, B.Y.: Development of the Digital Tongue Inspection System with Image Analysis. In: Proceedings of the Second Joint EMBS/BMES Conference, Houston, TX, USA, October 23-26 (2002)
Vico, P.G., Dequanter, D., Somerhausen, N., Andry, G., Cartilier, L.H.: Fractal Dimension of the Deep Margin of Tongue Carcinoma: A Prognostic Tool. Microscopy and Analysis (The Americas), 19–21 (2003)
Pang, B., Zhang, D.: Tongue Image Analysis for Appendicitis Diagnosis (2002)
Xu, L., et al.: Segmentation of skin cancer images. Image and Vision Computing 17, 65–74 (1999)
Esgiar, A.N., Sharif, B.S., Naguib, R.N.G., Bennett, M.K., Murray, A.: Texture Descriptions and Classification for Pathological Analysis of Cancerous Colonic Mucosa. In: IEEE Conference on Image Processing and Its Applications, vol. 465, pp. 335–338 (1999)
Haralick, R.M.: Statistical and structural approaches to texture. Proceedings of the IEEE 67(5), 786–804 (1979)
Amots, H.: Machine vision monitoring of plant nutrition. Ph.D. Dissertation, Purdue University (1994)
Backhaus, W.G., Kliegl, R., Werner, J.S.: Color vision. Walter de Gruyter (1998)
McLaren, K.: The development of the CIE 1976 (L*a*b*) uniform colour-space and colour-difference formula. Journal of the Society of Dyers and Colourists 92, 338–341 (1976)
Agoston, G.A.: Color Theory and Its Application in Art and Design, Heidelberg (1979)
Gotleib, L.C., Kreyszig, H.E.: Texture descriptions based on co-occurrence matrices. Computer Vision, Graphics and Image Processing 51(1), 70–86 (1990)
Gose, E., Johnsonbaugh, R., Jost, S.: Pattern Recognition and Image Analysis, pp. 372–379. Prentice-Hall PTR, Englewood Cliffs (1996)
Kaplan, L.M.: Extended Fractal Analysis for Texture Classification and Segmentation. IEEE Transactions on Image Processing 8(11), 1572–1584 (1999)
Ait-Kheddache, A.: Classification of Textures Using Higher-Order Fractal Dimensions. NCSU Department of Electrical and Computer Engineering (1998)
Ukai, M.: Developing an Image Processing Algorithm for Detection of Deformations of Tunnel Walls, http://www.rtri.or.jp/infoce/qr/1997/v38_3/news2.html
Nieniewski, M., Chmielewski, L., Jozwik, A., Sklodowski, M.: Morphological Detection and Feature-Based Classification of Cracked Regions in Ferrites. In: Proc. of IPMAM 1999, Warsaw (1999)
Reed, T.R., DuBuff, J.M.H.: A review of recent texture segmentation and feature extraction techniques. CVGIP: Image Understanding 57(3), 359–372 (1993)
Tamura, H., Mori, S., Yamawaki, T.: Texture features corresponding to visual perception. IEEE Transactions, SMC 8, 460–473 (1978)
Sonka, M., et al.: Image Processing, Analysis and Machine Vision. PWS Publishing (1999)
Li, G., Cai, Y.: Texture analysis for tongue analysis. Technical Report BV-2003-2, School of Computer Science, Carnegie Mellon University (May 2003)
Inselberg, A., Dimsdale, B.: Multidimensional lines i: representation. SIAM J. Applied Math. 54(2), 559–577 (1994)
Hall, L., Berthold, M.: Fuzzy Parallel Coordinates. In: Fuzzy Information Processing Society, NAFIPS. 19th International Conference of the North American, Atlanta, GA, USA, pp. 74–78 (2000)
Mitchell, T.: Machine Learning. McGraw-Hill, New York (1997)
Pham, B., Brown, R.: Multi-agent approach for visualisation of fuzzy systems. In: ICCS 2003 International Conference on Computational Science, Melbourne, pp. 995–1004 (June 2003)
Bezdek, J.C.: Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press, New York (1981)
Kohonen, T.: Self-organization and Associative Memory, 2nd edn. Springer, Berlin (1988)
Picton, P.: Neural Networks, 2nd edn. Palgrave, Basingstoke (2000)
Spath, H.: Cluster analysis algorithms. Ellis Horwood Ltd., Chichester (1980)
Chaney, G.R.: Do you Snore?, http://www.garnetchaney.com/help_for_snoring.shtml
Wasserman, P.D.: Advanced methods in neural computing. Nostrand Reinhold, New York (1993)
Mathworks. Manual of the Neural Network Toolbox, MATHWORKS (2004)
Chen, S., Cowan, C.F.N., Grant, P.M.: Orthogonal least squares learning algorithm for radial basis function networks. IEEE Transactions on Neural Networks 2(2), 302–309 (1991)
Moore, G.: Cramming more components onto integrated circuits. Electronics 38(8) (April 19, 1965)
Gunarathne, G.P.P., Gunarathne, T.R.: Arterial Blood-Volume Pulse Analyser. In: IEEE, Instrumentation and Measurement Technology Conference, AK, USA, pp. 1249–1254 (May 2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Cai, Y., Li, G., Mick, T., Chung, S.H., Pham, B. (2005). Ambient Diagnostics. In: Cai, Y. (eds) Ambient Intelligence for Scientific Discovery. Lecture Notes in Computer Science(), vol 3345. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-32263-4_11
Download citation
DOI: https://doi.org/10.1007/978-3-540-32263-4_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24466-0
Online ISBN: 978-3-540-32263-4
eBook Packages: Computer ScienceComputer Science (R0)