Papers overload

papers/project.bib

@@ -36,12 +36,58 @@
   year = {1997},
   citeseercitationcount = {0},
   citeseerurl = {http://citeseer.ist.psu.edu/36540.html},
+  comment = {Not relevant.},
   file = {Abowd1997.pdf:Abowd1997.pdf:PDF},
   owner = {chris},
   pdf = {Abowd1997.pdf},
   timestamp = {2009.12.01}
 }
 
+@ARTICLE{Aha1991,
+  author = {Aha, David W. and Kibler, Dennis and Albert, Marc K.},
+  title = {Instance-Based Learning Algorithms},
+  journal = {Machine Learning},
+  year = {1991},
+  volume = {6},
+  pages = {37--66},
+  number = {1},
+  month = {January},
+  abstract = {Storing and using specific instances improves the performance of several
+	supervised learning algorithms. These include algorithms that learn
+	decision trees, classification rules, and distributed networks. However,
+	no investigation has analyzed algorithms that use only specific instances
+	to solve incremental learning tasks. In this paper, we describe a
+	framework and methodology, called instance-based learning, that generates
+	classification predictions using only specific instances. Instance-based
+	learning algorithms do not maintain a set of abstractions derived
+	from specific instances. This approach extends the nearest neighbor
+	algorithm, which has large storage requirements. We describe how
+	storage requirements can be significantly reduced with, at most,
+	minor sacrifices in learning rate and classification accuracy. While
+	the storage-reducing algorithm performs well on several real-world
+	databases, its performance degrades rapidly with the level of attribute
+	noise in training instances. Therefore, we extended it with a significance
+	test to distinguish noisy instances. This extended algorithm's performance
+	degrades gracefully with increasing noise levels and compares favorably
+	with a noise-tolerant decision tree algorithm.},
+  address = {Hingham, MA, USA},
+  citeulike-article-id = {1527614},
+  citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=104717},
+  citeulike-linkout-1 = {http://dx.doi.org/10.1023/A:1022689900470},
+  citeulike-linkout-2 = {http://www.springerlink.com/content/kn127378pg361187},
+  day = {1},
+  doi = {10.1023/A:1022689900470},
+  file = {Aha1991.pdf:Aha1991.pdf:PDF},
+  issn = {0885-6125},
+  keywords = {learning},
+  owner = {chris},
+  posted-at = {2007-08-01 14:37:32},
+  priority = {4},
+  publisher = {Kluwer Academic Publishers},
+  timestamp = {2009.12.06},
+  url = {http://dx.doi.org/10.1023/A:1022689900470}
+}
+
 @ARTICLE{Bannach2008,
   author = {Bannach, D. and Lukowicz, P. and Amft, O.},
   title = {Rapid Prototyping of Activity Recognition Applications},
@@ -63,6 +109,76 @@
   timestamp = {2009.12.01}
 }
 
+@ARTICLE{Bao2004,
+  author = {Bao, L. and Intille, S. S.},
+  title = {Activity Recognition from User-Annotated Acceleration Data},
+  journal = {Pervasive Computing},
+  year = {2004},
+  volume = {3001},
+  pages = {1--17},
+  abstract = {In this work, algorithms are developed and evaluated to detect physical
+	activities from data acquired using five small biaxial accelerometers
+	worn simultaneously on different parts of the body. Acceleration
+	data was collected from 20 subjects without researcher supervision
+	or observation. Subjects were asked to perform a sequence of everyday
+	tasks but not told specifically where or how to do them. Mean, energy,
+	frequency-domain entropy, and correlation of acceleration data was
+	calculated and several classifiers using these features were tested.
+	Decision tree classifiers showed the best performance recognizing
+	everyday activities with an overall accuracy rate of 84\%. The results
+	show that although some activities are recognized well with subject-independent
+	training data, others appear to require subject-specific training
+	data. The results suggest that multiple accelerometers aid in recognition
+	because conjunctions in acceleration feature values can effectively
+	discriminate many activities. With just two biaxial accelerometers
+	– thigh and wrist – the recognition performance dropped only slightly.
+	This is the first work to investigate performance of recognition
+	algorithms with multiple, wire-free accelerometers on 20 activities
+	using datasets annotated by the subjects themselves.},
+  citeulike-article-id = {1188357},
+  citeulike-linkout-0 = {http://www.springerlink.com/content/9aqflyk4f47khyjd},
+  file = {Bao2004.pdf:Bao2004.pdf:PDF},
+  keywords = {acceleration},
+  owner = {chris},
+  posted-at = {2008-04-16 11:42:22},
+  priority = {4},
+  timestamp = {2009.12.06},
+  url = {http://www.springerlink.com/content/9aqflyk4f47khyjd}
+}
+
+@INCOLLECTION{Bardram2005,
+  author = {Bardram, Jakob E.},
+  title = {The Java Context Awareness Framework (JCAF) – A Service Infrastructure
+	and Programming Framework for Context-Aware Applications},
+  booktitle = {Pervasive Computing},
+  publisher = {IEEE},
+  year = {2005},
+  pages = {98--115},
+  abstract = {Context-awareness is a key concept in ubiquitous computing. But to
+	avoid developing dedicated context-awareness sub-systems for specific
+	application areas there is a need for more generic programming frameworks.
+	Such frameworks can help the programmer develop and deploy context-aware
+	applications faster. This paper describes the Java Context-Awareness
+	Framework – JCAF, which is a Java-based context-awareness infrastructure
+	and programming API for creating context-aware computer applications.
+	The paper presents the design goals of JCAF, its runtime architecture,
+	and its programming model. The paper presents some applications of
+	using JCAF in three different applications and discusses lessons
+	learned from using JCAF.},
+  citeulike-article-id = {1145979},
+  citeulike-linkout-0 = {http://dx.doi.org/10.1007/11428572_7},
+  citeulike-linkout-1 = {http://www.springerlink.com/content/yl2fen8clqqwq2tb},
+  doi = {10.1007/11428572_7},
+  file = {Bardram2005.pdf:Bardram2005.pdf:PDF},
+  journal = {Pervasive Computing},
+  keywords = {awareness, context, framework},
+  owner = {chris},
+  posted-at = {2007-06-26 09:54:05},
+  priority = {4},
+  timestamp = {2009.12.06},
+  url = {http://dx.doi.org/10.1007/11428572_7}
+}
+
 @ARTICLE{Bellavista2008,
   author = {Bellavista, P. and Kupper, A. and Helal, S.},
   title = {Location-Based Services: Back to the Future},
@@ -98,6 +214,7 @@
   citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1357237},
   citeulike-linkout-1 = {http://dx.doi.org/10.1145/1357054.1357237},
   doi = {10.1145/1357054.1357237},
+  file = {Bellotti2008.pdf:Bellotti2008.pdf:PDF},
   isbn = {9781605580111},
   keywords = {ibm, iphone, triage},
   owner = {chris},
@@ -145,6 +262,33 @@
   timestamp = {2009.12.01}
 }
 
+@INPROCEEDINGS{Consolvo2008,
+  author = {Consolvo, Sunny and Mcdonald, David W. and Toscos, Tammy and Chen,
+	Mike Y. and Froehlich, Jon and Harrison, Beverly and Klasnja, Predrag
+	and Lamarca, Anthony and Legrand, Louis and Libby, Ryan and Smith,
+	Ian and Landay, James A.},
+  title = {Activity sensing in the wild: a field trial of ubifit garden},
+  booktitle = {CHI '08: Proceeding of the twenty-sixth annual SIGCHI conference
+	on Human factors in computing systems},
+  year = {2008},
+  pages = {1797--1806},
+  address = {New York, NY, USA},
+  publisher = {ACM},
+  citeulike-article-id = {2977124},
+  citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1357054.1357335},
+  citeulike-linkout-1 = {http://dx.doi.org/10.1145/1357054.1357335},
+  doi = {10.1145/1357054.1357335},
+  file = {Consolvo2008.pdf:Consolvo2008.pdf:PDF},
+  isbn = {9781605580111},
+  keywords = {sensing, ubiquitous},
+  location = {Florence, Italy},
+  owner = {chris},
+  posted-at = {2008-08-25 01:26:32},
+  priority = {2},
+  timestamp = {2009.12.06},
+  url = {http://dx.doi.org/10.1145/1357054.1357335}
+}
+
 @ARTICLE{Davies2008,
   author = {Davies, Nigel and Siewiorek, Daniel P. and Sukthankar, Rahul},
   title = {Activity-Based Computing},
@@ -172,6 +316,7 @@
   pages = {58--61},
   number = {2},
   month = {April--June },
+  comment = {Not relevant.},
   doi = {10.1109/MPRV.2008.25},
   file = {Serugendo2008.pdf:Serugendo2008.pdf:PDF},
   owner = {chris},
@@ -186,6 +331,12 @@
 	and Systems},
   year = {2005},
   pages = {1--6},
+  comment = {We used classifiers from the open source Weka library[Witten and Frank,
+	2005] and neural networks from the open source Joone library[Marrone
+	and Team, 2006]. Decision Tree (J48) [Quinlan, 1993] 41% acc. AdaBoost
+	[Freund and Schapire, 1996] 46% acc. Support Vector Machine (SVM)
+	[Platt, 1998; Keerthi et al 2001] 43%. K-Nearest Neighbours [Aha
+	and Kibler, 1991] 47% acc. Neural networks 43% acc.},
   doi = {10.1109/MTAS.2005.207159},
   file = {Dornbush2005.pdf:Dornbush2005.pdf:PDF},
   keywords = {audio equipment, humanities, mobile handsets, XPod, emotion aware
@@ -199,17 +350,54 @@
   author = {Eagle, N. and Pentland, A.},
   title = {Mobile Matchmaking: Proximity Sensing and Cueing},
   year = {2004},
+  comment = {Bluetooth battery life; relationship type based on time of day and
+	bluetooth density; Gaussian mixture model 90%, SVM better?},
   file = {Eagle2004.pdf:Eagle2004.pdf:PDF},
   journal = {IEEE Pervasive, Special Issue on Smart Phones},
   owner = {chris},
   timestamp = {2009.12.01}
 }
 
+@ARTICLE{Eagle2006,
+  author = {Eagle, Nathan and Sandy Pentland, Alex},
+  title = {Reality mining: sensing complex social systems},
+  journal = {Personal and Ubiquitous Computing},
+  year = {2006},
+  volume = {10},
+  pages = {255--268},
+  number = {4},
+  month = {May},
+  abstract = {Abstract\ \ We introduce a system for sensing complex social
+	systems with data collected from 100 mobile phones over the course
+	of 9\ months. We demonstrate the ability to use standard Bluetooth-enabled
+	mobile telephones to measure information access and use in different
+	contexts, recognize social patterns in daily user activity, infer
+	relationships, identify socially significant locations, and model
+	organizational rhythms.},
+  address = {London, UK},
+  citeulike-article-id = {899208},
+  citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1122739.1122745},
+  citeulike-linkout-1 = {http://dx.doi.org/10.1007/s00779-005-0046-3},
+  citeulike-linkout-2 = {http://www.springerlink.com/content/l562745318077t54},
+  day = {1},
+  doi = {10.1007/s00779-005-0046-3},
+  file = {Eagle2006.pdf:Eagle2006.pdf:PDF},
+  issn = {1617-4909},
+  keywords = {complex, mining, reality, sensing, social, systems},
+  owner = {chris},
+  posted-at = {2009-10-12 11:59:33},
+  priority = {2},
+  publisher = {Springer-Verlag},
+  timestamp = {2009.12.06},
+  url = {http://dx.doi.org/10.1007/s00779-005-0046-3}
+}
+
 @MISC{Floreen2008,
   author = {Patrik Floréen and Joonas Kukkonen and Eemil Lagerspetz and Petteri
 	Nurmi and Jukka Suomela},
   title = {BeTelGeuse: Tool for Context Data Gathering via Bluetooth},
   year = {2008},
+  comment = {Not relevant.},
   file = {Floreen2008.pdf:Floreen2008.pdf:PDF},
   owner = {chris},
   timestamp = {2009.12.01}
@@ -221,6 +409,9 @@
 	Mobile},
   school = {University of Washington},
   year = {2009},
+  comment = {Instant/smooth classification ideas. Discrete fourier transform on
+	accelerometer data. 24 features per axis. Naive bayes model. 25Hz
+	accelerometer sampling battery life - 7 days down to 24 hours.},
   file = {Garakani2009.pdf:Garakani2009.pdf:PDF},
   owner = {chris},
   timestamp = {2009.12.01}
@@ -250,6 +441,9 @@
 	of this technique using experimental data from two test runs of a
 	home care scenario showing a higher accuracy and robustness than
 	conventional discriminative methods.},
+  comment = {Unsupervised learning for basic actions, then overlying hiden markov
+	model to classify into higher-level activities. K-means clustering
+	algorithm for identification and detection of base-level motion patterns.},
   file = {Hein2008.pdf:Hein2008.pdf:PDF},
   institution = {CiteSeerX - Scientific Literature Digital Library and Search Engine
 	[http://citeseerx.ist.psu.edu/oai2] (United States)},
@@ -259,6 +453,144 @@
   url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.142.6671}
 }
 
+@INPROCEEDINGS{Hightower2005,
+  author = {Hightower, Jeffrey and Consolvo, Sunny and Lamarca, Anthony and Smith,
+	Ian and Hughes, Jeff},
+  title = {Learning and Recognizing the Places We Go},
+  booktitle = {UbiComp 2005: Ubiquitous Computing},
+  year = {2005},
+  pages = {159--176},
+  abstract = {Location-enhanced mobile devices are becoming common, but applications
+	built for these devices find themselves suffering a mismatch between
+	the latitude and longitude that location sensors provide and the
+	colloquial place label that applications need. Conveying my location
+	to my spouse, for example as (48.13641N, 11.57471E), is less informative
+	than saying "at home". We introduce an algorithm called BeaconPrint
+	that uses WiFi and GSM radio fingerprints collected by someone's
+	personal mobile device to automatically learn the places they go
+	and then detect when they return to those places. BeaconPrint does
+	not automatically assign names or semantics to places. Rather, it
+	provides the technological foundation to support this task. We compare
+	BeaconPrint to three existing algorithms using month-long trace logs
+	from each of three people. Algorithmic results are supplemented with
+	a survey study about the places people go. BeaconPrint is over 90\%
+	accurate in learning and recognizing places. Additionally, it improves
+	accuracy in recognizing places visited infrequently or for short
+	durations - a category where previous approaches have fared poorly.
+	BeaconPrint demonstrates 63\% accuracy for places someone returns
+	to only once or visits for less than 10 minutes, increasing to 80\%
+	accuracy for places visited twice.},
+  citeulike-article-id = {1382076},
+  citeulike-linkout-0 = {http://dx.doi.org/10.1007/11551201_10},
+  doi = {10.1007/11551201_10},
+  file = {Hightower2005.pdf:Hightower2005.pdf:PDF},
+  journal = {UbiComp 2005: Ubiquitous Computing},
+  keywords = {learning, location, places, prediction, significant},
+  owner = {chris},
+  posted-at = {2009-03-24 14:34:56},
+  priority = {0},
+  timestamp = {2009.12.06},
+  url = {http://dx.doi.org/10.1007/11551201_10}
+}
+
+@INPROCEEDINGS{Horvitz1998,
+  author = {Horvitz, E. and Breese, J. and Heckerman, D. and Hovel, D. and Rommelse,
+	K.},
+  title = {The Lumiere project: Bayesian user modeling for inferring the goals
+	and needs of software users},
+  booktitle = {In Proceedings of the Fourteenth Conference on Uncertainty in Artificial
+	Intelligence},
+  year = {1998},
+  pages = {256--265},
+  address = {Madison, WI},
+  month = {July},
+  abstract = {The Lumi`ere Project centers on harnessing probability and utility
+	to provide assistance to computer software users. We review work
+	on Bayesian user models that can be employed to infer a user's needs
+	by considering a user's background, actions, and queries. Several
+	problems were tackled in Lumi`ere research, including (1) the construction
+	of Bayesian models for reasoning about the time-varying goals of
+	computer users from their observed actions and queries, (2) gaining
+	access to a stream of...},
+  citeulike-article-id = {1269522},
+  citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.39.8472},
+  file = {Horvitz1998.pdf:Horvitz1998.pdf:PDF},
+  keywords = {bayesian, computing, inference, modeling, user},
+  owner = {chris},
+  posted-at = {2007-05-14 23:50:35},
+  priority = {4},
+  timestamp = {2009.12.06},
+  url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.39.8472}
+}
+
+@INPROCEEDINGS{Huynh2005,
+  author = {Huynh, T\^{a}m and Schiele, Bernt},
+  title = {Analyzing features for activity recognition},
+  booktitle = {sOc-EUSAI '05: Proceedings of the 2005 joint conference on Smart
+	objects and ambient intelligence},
+  year = {2005},
+  pages = {159--163},
+  address = {New York, NY, USA},
+  publisher = {ACM},
+  abstract = {Human activity is one of the most important ingredients of context
+	information. In wearable computing scenarios, activities such as
+	walking, standing and sitting can be inferred from data provided
+	by body-worn acceleration sensors. In such settings, most approaches
+	use a single set of features, regardless of which activity to be
+	recognized. In this paper we show that recognition rates can be improved
+	by careful selection of individual features for each activity. We
+	present a systematic analysis of features computed from a real-world
+	data set and show how the choice of feature and the window length
+	over which the feature is computed affects the recognition rates
+	for different activities. Finally, we give a recommendation of suitable
+	features and window lengths for a set of common activities.},
+  citeulike-article-id = {1076182},
+  citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1107591},
+  citeulike-linkout-1 = {http://dx.doi.org/10.1145/1107548.1107591},
+  doi = {10.1145/1107548.1107591},
+  file = {Huynh2005.pdf:Huynh2005.pdf:PDF},
+  isbn = {1-59593-304-2},
+  keywords = {activity, recognition},
+  location = {Grenoble, France},
+  owner = {chris},
+  posted-at = {2007-03-17 06:17:32},
+  priority = {2},
+  timestamp = {2009.12.06},
+  url = {http://dx.doi.org/10.1145/1107548.1107591}
+}
+
+@MISC{Keerthi1999,
+  author = {Keerthi, S. and Shevade, S. and Bhattacharyya, C. and Murthy, K.},
+  title = {Improvements to Platt's SMO algorithm for SVM classifier design},
+  year = {1999},
+  abstract = {This paper points out an important source of confusion and ineciency
+	in Platt's Sequential
+	
+	Minimal Optimization (SMO) algorithm that is caused by the use of
+	a single threshold value.
+	
+	Using clues from the KKT conditions for the dual problem, two threshold
+	parameters are employed
+	
+	to derive modications of SMO. These modied algorithms perform signicantly
+	faster
+	
+	than the original SMO on all benchmark datasets tried.
+	
+	1 Introduction
+	
+	In the past few years, there has been a lot of excitement...},
+  citeulike-article-id = {1772853},
+  citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.46.8538},
+  file = {Keerthi1999.pdf:Keerthi1999.pdf:PDF},
+  keywords = {smo, svm},
+  owner = {chris},
+  posted-at = {2008-04-12 20:18:51},
+  priority = {2},
+  timestamp = {2009.12.06},
+  url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.46.8538}
+}
+
 @INPROCEEDINGS{Lee2007,
   author = {Jae Young Lee and Hoff, W.},
   title = {Activity Identification Utilizing Data Mining Techniques},
@@ -267,6 +599,7 @@
   pages = {12--12},
   month = {Feb. },
   doi = {10.1109/WMVC.2007.4},
+  file = {Lee2007.pdf:Lee2007.pdf:PDF},
   owner = {chris},
   timestamp = {2009.12.03}
 }
@@ -307,6 +640,40 @@
   url = {http://dx.doi.org/10.1007/11748625_1}
 }
 
+@INPROCEEDINGS{Lester2005,
+  author = {Lester, Jonathan and Choudhury, Tanzeem and Kern, Nicky and Borriello,
+	Gaetano and Hannaford, Blake},
+  title = {A hybrid discriminative/generative approach for modeling human activities},
+  booktitle = {In Proc. of the International Joint Conference on Artificial Intelligence
+	(IJCAI},
+  year = {2005},
+  pages = {766--772},
+  abstract = {Accurate recognition and tracking of human activities is an important
+	goal of ubiquitous computing. Recent advances in the development
+	of multi-modal wearable sensors enable us to gather rich datasets
+	of human activities. However, the problem of automatically identifying
+	the most useful features for modeling such activities remains largely
+	unsolved. In this paper we present a hybrid approach to recognizing
+	activities, which combines boosting to discriminatively select useful
+	features and learn an ensemble of static classifiers to recognize
+	different activities, with hidden Markov models (HMMs) to capture
+	the temporal regularities and smoothness of activities. We tested
+	the activity recognition system using over 12 hours of wearable-sensor
+	data collected by volunteers in natural unconstrained environments.
+	The models succeeded in identifying a small set of maximally informative
+	features, and were able identify ten different human activities with
+	an accuracy of 95\%. 1},
+  citeulike-article-id = {3291348},
+  citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.77.5776},
+  file = {Lester2005.pdf:Lester2005.pdf:PDF},
+  keywords = {transitgenie},
+  owner = {chris},
+  posted-at = {2009-07-11 19:30:29},
+  priority = {4},
+  timestamp = {2009.12.06},
+  url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.77.5776}
+}
+
 @ARTICLE{Liao2007,
   author = {Liao, Lin and Fox, Dieter and Kautz, Henry},
   title = {Extracting Places and Activities from GPS Traces Using Hierarchical
@@ -409,7 +776,10 @@
   citeulike-linkout-1 = {http://www.springerlink.com/content/wm35501wq8352865},
   day = {12},
   doi = {10.1007/BF02347551},
+  file = {Mathie2004.pdf:Mathie2004.pdf:PDF},
+  owner = {chris},
   posted-at = {2009-05-26 20:42:51},
+  timestamp = {2009.12.06},
   url = {http://dx.doi.org/10.1007/BF02347551}
 }
 
@@ -437,6 +807,7 @@
   title = {Evaluating the iPhone as a Mobile Platform for People-Centric Sensing
 	Applications},
   year = {2009},
+  comment = {No background apps on iPhone, no access to BT or Wifi stacks.},
   file = {Miluzzo2009.pdf:Miluzzo2009.pdf:PDF},
   owner = {chris},
   timestamp = {2009.12.01}
@@ -447,11 +818,55 @@
   title = {Exploring Social Context with the Wireless Rope},
   booktitle = {In Proc. Workshop MONET: LNCS 4277},
   year = {2006},
+  comment = {Definition of familiar strangers. DynStra/DynFam formula.},
   file = {Nicolai2006.pdf:Nicolai2006.pdf:PDF},
   owner = {chris},
   timestamp = {2009.12.01}
 }
 
+@INPROCEEDINGS{Nurmi2006,
+  author = {Nurmi, Petteri and Koolwaaij, Johan},
+  title = {Identifying meaningful locations},
+  booktitle = {Mobile and Ubiquitous Systems: Networking \& Services, 2006 Third
+	Annual International Conference on},
+  year = {2006},
+  pages = {1--8},
+  abstract = {Existing context-aware mobile applications often rely on location
+	information. However, raw location data such as GPS coordinates or
+	GSM cell identifiers are usually meaningless to the user and, as
+	a consequence, researchers have proposed different methods for inferring
+	so-called places from raw data. The places are locations that carry
+	some meaning to user and to which the user can potentially attach
+	some (meaningful) semantics. Examples of places include home, work
+	and airport. A lack in existing work is that the labeling has been
+	done in an ad hoc fashion and no motivation has been given for why
+	places would be interesting to the user. As our first contribution
+	we use social identity theory to motivate why some locations really
+	are significant to the user. We also discuss what potential uses
+	for location information social identity theory implies. Another
+	flaw in the existing work is that most of the proposed methods are
+	not suited to realistic mobile settings as they rely on the availability
+	of GPS information. As our second contribution we consider a more
+	realistic setting where the information consists of GSM cell transitions
+	that are enriched with GPS information whenever a GPS device is available.
+	We present four different algorithms for this problem and compare
+	them using real data gathered throughout Europe. In addition, we
+	analyze the suitability of our algorithms for mobile devices},
+  citeulike-article-id = {2420217},
+  citeulike-linkout-0 = {http://dx.doi.org/10.1109/MOBIQ.2006.340429},
+  citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4141782},
+  doi = {10.1109/MOBIQ.2006.340429},
+  file = {Nurmi2006.pdf:Nurmi2006.pdf:PDF},
+  journal = {Mobile and Ubiquitous Systems: Networking \& Services, 2006 Third
+	Annual International Conference on},
+  keywords = {cs-location, read},
+  owner = {chris},
+  posted-at = {2008-02-24 02:03:54},
+  priority = {2},
+  timestamp = {2009.12.06},
+  url = {http://dx.doi.org/10.1109/MOBIQ.2006.340429}
+}
+
 @ARTICLE{Parkka2006,
   author = {Parkka, J. and Ermes, M. and Korpipaa, P. and Mantyjarvi, J. and
 	Peltola, J. and Korhonen, I.},
@@ -487,6 +902,7 @@
   citeulike-linkout-2 = {http://dx.doi.org/http://dx.doi.org/10.1109/TITB.2005.856863},
   citeulike-linkout-3 = {http://dx.doi.org/10.1109/TITB.2005.856863},
   doi = {10.1109/TITB.2005.856863},
+  file = {Parkka2006.pdf:Parkka2006.pdf:PDF},
   keywords = {activity, coact, health, walton, wearable},
   owner = {chris},
   pdf = {Parkka2006.pdf},
@@ -552,6 +968,76 @@
   timestamp = {2009.12.01}
 }
 
+@ARTICLE{Raento2005,
+  author = {Raento, Mika and Oulasvirta, Antti and Petit, Renaud and Toivonen,
+	Hannu},
+  title = {ContextPhone: A Prototyping Platform for Context-Aware Mobile Applications},
+  journal = {IEEE Pervasive Computing},
+  year = {2005},
+  volume = {4},
+  pages = {51--59},
+  number = {2},
+  month = {April},
+  abstract = {ContextPhone is an open-source prototyping platform for context-aware
+	mobile applications. Its development was based on an iterative, human-centered
+	strategy aimed at enabling real-world applications that are easily
+	integrated into users\&\#253; everyday lives. The strategy included
+	rapid response to feedback from field evaluations. The developers
+	also studied other applications as well as general mobility issues.
+	Their work resulted in prioritized design goals, including an emphasis
+	on context, unobtrusiveness, truthfulness, seamfulness, timeliness
+	and fast interaction. These design goals have been realized in several
+	robust components running on top of the Series 60 Smartphone platform.
+	These components include basic services like error recovery and service
+	starting, sensors for gathering context data, communication channels
+	for interacting with the outside world, and customizable versions
+	of the Smartphone applications. Several real-world applications have
+	been built on top of ContextPhone and the platform is released under
+	an open-source license for use in further research.},
+  address = {Piscataway, NJ, USA},
+  booktitle = {Pervasive Computing, IEEE},
+  citeulike-article-id = {2926228},
+  citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1070601.1070628},
+  citeulike-linkout-1 = {http://dx.doi.org/10.1109/MPRV.2005.29},
+  citeulike-linkout-2 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1427649},
+  doi = {10.1109/MPRV.2005.29},
+  file = {Raento2005.pdf:Raento2005.pdf:PDF},
+  issn = {1536-1268},
+  keywords = {adaptive\_interfaces, location\_aware\_computing},
+  owner = {chris},
+  posted-at = {2008-06-25 17:18:22},
+  priority = {2},
+  publisher = {IEEE Educational Activities Department},
+  timestamp = {2009.12.06},
+  url = {http://dx.doi.org/10.1109/MPRV.2005.29}
+}
+
+@INPROCEEDINGS{Ravi2005,
+  author = {Ravi, Nishkam and Nikhil, D. and Mysore, Preetham and Littman, Michael
+	L.},
+  title = {Activity recognition from accelerometer data},
+  booktitle = {Proceedings of the Seventeenth Conference on Innovative Applications
+	of Artificial Intelligence(IAAI},
+  year = {2005},
+  pages = {1541--1546},
+  abstract = {Activity recognition fits within the bigger framework of context awareness.
+	In this paper, we report on our efforts to recognize user activity
+	from accelerometer data. Activity recognition is formulated as a
+	classification problem. Performance of base-level classifiers and
+	meta-level classifiers is compared. Plurality Voting is found to
+	perform consistently well across different settings.},
+  citeulike-article-id = {5157220},
+  citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.92.1333},
+  citeulike-linkout-1 = {https://www.aaai.org/Papers/IAAI/2005/IAAI05-013.pdf},
+  file = {Ravi2005.pdf:Ravi2005.pdf:PDF},
+  keywords = {accelerometer, activity-inferencing},
+  owner = {chris},
+  posted-at = {2009-07-15 10:33:20},
+  priority = {2},
+  timestamp = {2009.12.06},
+  url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.92.1333}
+}
+
 @ARTICLE{Reynolds2008,
   author = {Reynolds, F.},
   title = {Camera Phones: A Snapshot of Research and Applications},
@@ -580,6 +1066,38 @@
   timestamp = {2009.12.01}
 }
 
+@MISC{Salber1999,
+  author = {Salber, Daniel and Dey, Anind K. and Abowd, Gregory D.},
+  title = {The Context Toolkit: Aiding the Development of Context-Enabled Applications},
+  year = {1999},
+  abstract = {Context-enabled applications are just emerging and promise richer
+	interaction by taking environmental context into account. However,
+	they are difficult to build due to their distributed nature and the
+	use of unconventional sensors. The concepts of toolkits and widget
+	libraries in graphical user interfaces has been tremendously successful,
+	allowing programmers to leverage off existing building blocks to
+	build interactive systems more easily. We introduce the concept of
+	context widgets that mediate between the environment and the application
+	in the same way graphical widgets mediate between the user and the
+	application. We illustrate the concept of context widgets with the
+	beginnings of a widget library we have developed for sensing presence,
+	identity and activity of people and things. We assess the success
+	of our approach with two example context-enabled applications we
+	have built and an existing application to which we have added contextsensing
+	capabilities.},
+  citeulike-article-id = {3753280},
+  citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.32.2110},
+  citeulike-linkout-1 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.32.2110},
+  file = {Salber1999.pdf:Salber1999.pdf:PDF},
+  keywords = {applications, context, context\_awareness, toolkit},
+  owner = {chris},
+  pages = {434--441},
+  posted-at = {2008-12-07 12:33:46},
+  priority = {4},
+  timestamp = {2009.12.06},
+  url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.32.2110}
+}
+
 @MISC{Schapire1999,
   author = {Schapire, Robert E.},
   title = {A Brief Introduction to Boosting},
@@ -678,6 +1196,29 @@
   timestamp = {2009.12.01}
 }
 
+@INPROCEEDINGS{Siewiorek2003,
+  author = {Siewiorek, D. and Smailagic, A. and Furukawa, J. and Krause, A. and
+	Moraveji, N. and Reiger, K. and Shaffer, J. and Wong, Fei L.},
+  title = {SenSay: a context-aware mobile phone},
+  booktitle = {Wearable Computers, 2003. Proceedings. Seventh IEEE International
+	Symposium on},
+  year = {2003},
+  pages = {248--249},
+  citeulike-article-id = {898575},
+  citeulike-linkout-0 = {http://dx.doi.org/10.1109/ISWC.2003.1241422},
+  citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1241422},
+  doi = {10.1109/ISWC.2003.1241422},
+  file = {Siewiorek2003.pdf:Siewiorek2003.pdf:PDF},
+  journal = {Wearable Computers, 2003. Proceedings. Seventh IEEE International
+	Symposium on},
+  keywords = {aware, context, mobile, phone},
+  owner = {chris},
+  posted-at = {2008-09-16 14:38:06},
+  priority = {2},
+  timestamp = {2009.12.06},
+  url = {http://dx.doi.org/10.1109/ISWC.2003.1241422}
+}
+
 @INPROCEEDINGS{Song2005,
   author = {Song, K. and Wang, Y.},
   title = {Remote Activity Monitoring of the Elderly Using a Two-Axis Accelerometer},
@@ -719,6 +1260,31 @@
   timestamp = {2009.12.01}
 }
 
+@INPROCEEDINGS{Terry2002,
+  author = {Terry, Michael and Mynatt, Elizabeth D. and Ryall, Kathy and Leigh,
+	Darren},
+  title = {Social net: using patterns of physical proximity over time to infer
+	shared interests},
+  booktitle = {CHI '02: CHI '02 extended abstracts on Human factors in computing
+	systems},
+  year = {2002},
+  pages = {816--817},
+  address = {New York, NY, USA},
+  publisher = {ACM Press},
+  citeulike-article-id = {934249},
+  citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=506443.506612},
+  citeulike-linkout-1 = {http://dx.doi.org/10.1145/506443.506612},
+  doi = {10.1145/506443.506612},
+  file = {Terry2002.pdf:Terry2002.pdf:PDF},
+  isbn = {1581134541},
+  keywords = {networking, social},
+  owner = {chris},
+  posted-at = {2008-08-21 15:56:49},
+  priority = {2},
+  timestamp = {2009.12.06},
+  url = {http://dx.doi.org/10.1145/506443.506612}
+}
+
 @ARTICLE{Voida2002,
   author = {Voida, S. and Mynatt, E.D. and MacIntyre, B. and Corso, G.M.},
   title = {Integrating virtual and physical context to support knowledge workers},
@@ -788,6 +1354,7 @@
   pages = {100--105},
   month = {20--22 Aug. },
   doi = {10.1109/MFI.2008.4648116},
+  file = {Yang2008.pdf:Yang2008.pdf:PDF},
   owner = {chris},
   timestamp = {2009.12.03}
 }
@@ -804,12 +1371,14 @@
 
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