Abstract
Increasing availability of sensor-based location traces for individuals, combined with the goal of better understanding user context, has resulted in a recent emphasis on algorithms for automatically extracting users’ significant places from location data. Place-finding can be characterized by two sub-problems, (1) finding significant locations, and (2) assigning semantic labels to those locations (the problem of “moving from location to place”) [8]. Existing algorithms focus on the first sub-problem and on finding city-level locations. We use a principled approach in adapting Gaussian Mixture Models (GMMs) to provide a first solution for finding significant places within the home, based on the first set of long-term, precise location data collected from several homes. We also present a novel metric for quantifying the similarity between places, which has the potential to assign semantic labels to places by comparing them to a library of known places. We discuss several implications of these new techniques for the design of Ubicomp systems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aipperspach, R., Cohen, E., Canny, J.: Analysis and Prediction of Sensor Data Collected from Smart Homes. In: Fishkin, K.P., Schiele, B., Nixon, P., Quigley, A. (eds.) PERVASIVE 2006. LNCS, vol. 3968. Springer, Heidelberg (2006)
Aipperspach, R., Woodruff, A., Anderson, K., Hooker, B.: Maps of Our Lives: Sensing People and Objects Together in the Home. Tech. Report EECS-2005-22, EECS Department, UC Berkeley (2005)
Ashbrook, D., Starner, T.: Using GPS to Learn Significant Locations and Predict Movement Across Multiple Users. Personal and Ubiquitous Comp. 7 (2003)
Dey, A., et al.: A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications. Human-Computer Interaction 16 (2001)
Dourish, P.: What We Talk About When We Talk About Context. Personal and Ubiquitous Computing 8, 19–30 (2004)
Dragunov, A.N., et al.: TaskTracer: A Desktop Environment to Support Multi-tasking Knowledge Workers. In: Int’l. Conf. on Intelligent User Interfaces (2005)
Harrison, S., Dourish, P.: Re-Place-ing Space: The Roles of Place and Space in Collaborative Systems. In: Proc. CSCW 1996 (1996)
Hightower, J., et al.: Learning and recognizing the places we go. In: Beigl, M., Intille, S.S., Rekimoto, J., Tokuda, H. (eds.) UbiComp 2005. LNCS, vol. 3660, pp. 159–176. Springer, Heidelberg (2005)
Kang, J.H., Welbourne, W., Stewart, B., Borriello, G.: Extracting Places from Traces of Locations. In: Proc. Workshop on Wireless Mobile Applications and Services on WLAN Hotspots, WMASH (2004)
Laasonen, K., Raento, M., Toivonen, H.: Adaptive on-device location recognition. In: Ferscha, A., Mattern, F. (eds.) PERVASIVE 2004. LNCS, vol. 3001, pp. 287–304. Springer, Heidelberg (2004)
Leont’ev, A.N.: Activity, Consciousness, and Personality. Prentice-Hall, Englewood Cliffs (1978)
Liao, L., Fox, D., Kautz, H.: Learning and Inferring Transportation Routines. In: Proc. AAAI 2004 (2004)
Marmasse, N., Schmandt, C.: Location-aware information delivery with comMotion. In: Thomas, P., Gellersen, H.-W. (eds.) HUC 2000. LNCS, vol. 1927, p. 157. Springer, Heidelberg (2000)
Mehta, N., Natarajan, S., Tadepalli, P., Fern, A.: Transfer in Variable-Reward Hierarchical Reinforcement Learning. In: Proc. of the Inductive Transfer workshop at NIPS 2005 (2005)
Monteiro, C.: Activity Analysis in Houses of Recife, Brazil. In: Proc. First Int’l. Space Syntax Conf., pp. 20.1–20.13 (1997)
Morris, M., Intille, S.S., Beaudin, J.S.: Embedded assessment: Overcoming barriers to early detection with pervasive computing. In: Gellersen, H.-W., Want, R., Schmidt, A. (eds.) PERVASIVE 2005. LNCS, vol. 3468, pp. 333–346. Springer, Heidelberg (2005)
Morris, M.: Social Networks as Health Feedback Displays. IEEE Internet Computing 9(5), 29–37 (2005)
Oswald, F., et al.: The Role of the Home Environment in Middle and Late Adulthood. In: Wahl, H.-W., et al. (eds.) The Many Faces of Health, Competence and Well-being in Old Age: Integrating Epidemiological, Psychological and Social Perspectives. Springer, Heidelberg (2006)
Philipose, M., et al.: Inferring Activities from Interactions with Objects. IEEE Pervasive Computing, pp. 50–57 (October 2004)
Rowan, J., Mynatt, E.D.: Digital Family Portraits: Providing Peace of Mind for Extended Family Members. In: Proc. CHI 2001 (2001)
Stolcke, A.: SRILM - An Extensible Language Modeling Toolkit. In: Proc. of the Int’l. Conf. on Spoken Language Processing (2002)
Tapia, E.M., Intille, S.S., Larson, K.: Activity recognition in the home using simple and ubiquitous sensors. In: Ferscha, A., Mattern, F. (eds.) PERVASIVE 2004. LNCS, vol. 3001, pp. 158–175. Springer, Heidelberg (2004)
Trevisani, E., Vitaletti, A.: Cell-Id Location Technique, Limits and Benefits: An Experimental Study. In: Proc. IEEE Workshop on Mobile Computing Systems and Applications, WMCSA (2004)
Truong, E., et al.: CAMP: A magnetic poetry interface for end-user programming of capture applications for the home. In: Davies, N., Mynatt, E.D., Siio, I. (eds.) UbiComp 2004. LNCS, vol. 3205, pp. 143–160. Springer, Heidelberg (2004)
Ubisense, Ltd. Website, http://www.ubisense.net
Wang, J., Canny, J.: End-User Place Annotation on Mobile Devices: A Comparative Study. In: Extended Abstracts, CHI 2006 (2006)
Wicker, A.: An Introduction to Ecological Psychology. Brooks/Cole Publishing Company, Monterey (1979)
Woodruff, A., Anderson, A., Mainwaring, S.D., Aipperspach, R.: Portable, But Not Mobile: A Study of Wireless Laptops in the Home. Tech. Report EECS-2006-88, EECS Department, UC Berkeley (2006)
Wyatt, D., Philipose, M., Choudhury, T.: Unsupervised Activity Recognition Using Automatically Mined Common Sense. In: Proc. of AAAI 2005 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Aipperspach, R., Rattenbury, T., Woodruff, A., Canny, J. (2006). A Quantitative Method for Revealing and Comparing Places in the Home. In: Dourish, P., Friday, A. (eds) UbiComp 2006: Ubiquitous Computing. UbiComp 2006. Lecture Notes in Computer Science, vol 4206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11853565_1
Download citation
DOI: https://doi.org/10.1007/11853565_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-39634-5
Online ISBN: 978-3-540-39635-2
eBook Packages: Computer ScienceComputer Science (R0)