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| Andreas Krause, Asim Smailagic, Daniel P. Siewiorek, "Context-Aware Mobile Computing: Learning Context-Dependent Personal Preferences from a Wearable Sensor Array," IEEE Transactions on Mobile Computing, vol. 5, no. 2, pp. 113-127, February, 2006. | |||
| BibTex | x | ||
| @article{ 10.1109/TMC.2006.18, author = {Andreas Krause and Asim Smailagic and Daniel P. Siewiorek}, title = {Context-Aware Mobile Computing: Learning Context-Dependent Personal Preferences from a Wearable Sensor Array}, journal ={IEEE Transactions on Mobile Computing}, volume = {5}, number = {2}, issn = {1536-1233}, year = {2006}, pages = {113-127}, doi = {http://doi.ieeecomputersociety.org/10.1109/TMC.2006.18}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Mobile Computing TI - Context-Aware Mobile Computing: Learning Context-Dependent Personal Preferences from a Wearable Sensor Array IS - 2 SN - 1536-1233 SP113 EP127 EPD - 113-127 A1 - Andreas Krause, A1 - Asim Smailagic, A1 - Daniel P. Siewiorek, PY - 2006 KW - Index Terms- Location-dependent and sensitive KW - wearable computers KW - mobile computing KW - machine learning KW - wearable AI KW - statistical models. VL - 5 JA - IEEE Transactions on Mobile Computing ER - | |||
[1] A. Smailagic and D.P. Siewiorek, “Application Design for Wearable and Context-Aware Computers,” IEEE Pervasive Computing, vol. 1, no. 4, pp. 20-29, Dec. 2002.
[2] B. Clarkson, “Life Patterns: Structure from Wearable Sensors,” PhD thesis, 02, MIT Media Lab, 2002.
[3] S.E. Hudson, J. Fogarty, C.G. Atkeson, D. Avrahami, J. Forlizzi, S. Kiesler, J.C. Lee, and J. Yang, “Predicting Human Interruptibility with Sensors: A Wizard of Oz Feasibility Study,” Proc. SIGCHI Conf. Human Factors in Computing Systems (CHI 2003), 2003.
[4] R. DeVaul, M. Sung, J. Gips, and A. Pentland, “MIThril 2003: Applications and Architecture,” Proc. Seventh Int'l Symp. Wearable Computers, 2003.
[5] K. Van Laerhoven and O. Cakmakci, “What Shall We Teach Our Pants,” Proc. Fourth Int'l Symp. Wearable Computers, 2000.
[6] K. Van Laerhoven, “Combining the Kohonen Self-Organizing Map and K-Means for On-Line Classification of Sensor Data,” Artificial Neural Networks— ICANN 2001, G. Dorffner, H. Bischof, and K. Hornik, eds., pp. 464-470, 2001.
[7] J. Farringdon, A.J. Moore, N. Tilbury, J. Church, and P.D. Biemond, “Wearable Sensor Badge & Sensor Jacket for Context-Awareness,” Proc. Third Int'l Symp. Wearable Computers, pp. 77-83, 1999.
[8] F. Gemperle et al., “Design for Wearability,” Proc. Second Int'l Symp. Wearable Computers, pp. 116-122, 1998.
[9] T. Kohonen, Self-Organizing Map, second ed., pp. 127-128. Berlin: Springer-Verlag, 1995.
[10] R. Bellman, Adaptive Control Processes. Princeton Univ. Press, 1961.
[11] T. Kohonen, “Things You Haven't Heard about the Self-Organizing Map,” Proc. Int'l Conf. Neural Networks (ICNN), pp. 1147-1156, 1993.
[12] E.R. Gansner and S.C. North, “An Open Graph Visualization System and Its Applications to Software Engineering,” Software— Practice and Experience, vol. 30, no. 11, pp. 1203-1233, 2000.
[13] L. Feldman-Barrett and D.J. Barrett, “Computerized Experience-Sampling: How Technology Facilitates the Study of Conscious Experience,” Social Science Computer Rev., vol. 19, pp. 175-185, 2001.
[14] R.M. French, “Catastrophic Forgetting in Connectionist Networks,” Trends in Cognitive Science, vol. 3, no. 4, pp. 128-135, 1999.
[15] N. Moraveji and A. Smailagic, “Analysis of Interruptibility and User States Among College Students Using Mobile Phones,” technical report, Inst. of Complex Engineered Systems, Carnegie Mellon Univ., 2003.
[16] M. Stäger, P. Lukowicz, N. Perera, T. von Büren, G. Tröster, and T. Starner, “SoundButton: Design of a Low Power Wearable Audio Classification System,” Proc. Seventh Int'l Symp. Wearable Computers, Oct. 2003.
[17] D.L. Davies and D.W. Bouldin, “A Cluster Separation Measure,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 1, no. 2, pp. 224-227, 1979.
[18] A. Smailagic and D. Kogan, “Location Sensing in a Context-Aware Computing Environment,” IEEE Wireless Comm., Oct. 2002.
[19] G. Cooper and E. Herskovits, “A Bayesian Method for the Induction of Probabilistic Networks from Data,” Machine Learning, vol. 9, pp. 309-347, 1992.
[20] D. Heckerman, “A Tutorial on Learning with Bayesian Networks,” Learning in Graphical Models, M.I. Jordan, ed., pp. 301-354, Dordrecht: Kluwer, 1998.
[21] A. Krause, D.P. Siewiorek, and A. Smailagic, “Unsupervised, Dynamic Identification of Physiological and Activity Context,” Proc. Seventh Int'l Symp. Wearable Computers, Oct. 2003.
[22] D.P. Siewiorek, A. Smailagic, J. Furakawa, A. Krause, N. Moraveji, K. Reiger, J. Shaffer, and F.L. Wong, “SenSay: A Context-Aware Mobile Phone,” Proc. Seventh Int'l Symp. Wearable Computers, Oct. 2003.
[23] S.E Hudson, J. Fogarty, C.G. Atkeson, D. Avrahami, J. Forlizzi, S. Kiesler, J.C. Lee, and J. Yang, “Examining the Robustness of Sensor-Based Statistical Models of Human Interruptibility,” Proc. SIGCHI Conf. Human Factors in Computing Systems (CHI 2004), submitted.

