User activity understanding from mobile phone sensors, Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing, Ubicomp '10, pp.391-392, 2010. ,
DOI : 10.1145/1864431.1864452
Activity Recognition from User-Annotated Acceleration Data, International Conference on Pervasive Computing, pp.1-17, 2004. ,
DOI : 10.1007/978-3-540-24646-6_1
URL : http://web.media.mit.edu/~intille/papers-files/BaoIntille04.pdf
Context-Aware Location Prediction, International Workshop on Modeling Social Media, pp.165-185, 2014. ,
DOI : 10.1007/978-3-319-29009-6_9
ActiServ: Activity Recognition Service for mobile phones, International Symposium on Wearable Computers (ISWC) 2010, pp.1-8, 2010. ,
DOI : 10.1109/ISWC.2010.5665868
URL : http://www.teco.edu/~michael/publication/ISWC10.pdf
A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity, IEEE Transactions on Biomedical Engineering, vol.44, issue.3, pp.44136-147, 1997. ,
DOI : 10.1109/10.554760
Tracking Free-Weight Exercises, International Conference on Ubiquitous Computing, pp.19-37, 2007. ,
DOI : 10.1007/978-3-540-74853-3_2
Activity sensing in the wild, Proceeding of the twenty-sixth annual CHI conference on Human factors in computing systems , CHI '08, pp.1797-1806, 2008. ,
DOI : 10.1145/1357054.1357335
Characterization of Behavioral Patterns Exploiting Description of Geographical Areas, 2015. ,
DOI : 10.1007/978-3-642-33024-7_26
Reality mining: sensing complex social systems. Personal and ubiquitous computing, pp.255-268, 2006. ,
DOI : 10.1007/s00779-005-0046-3
Wearable sensor badge and sensor jacket for context awareness, Digest of Papers. Third International Symposium on Wearable Computers, pp.107-113, 1999. ,
DOI : 10.1109/ISWC.1999.806681
THUMP, Proceedings of the 25th International Conference Companion on World Wide Web, WWW '16 Companion, pp.35-36, 2016. ,
DOI : 10.1145/1526709.1526816
The infati data. arXiv preprint cs, 2004. ,
Sampling Frequency, Signal Resolution and the Accuracy of Wearable Context Recognition Systems, Eighth International Symposium on Wearable Computers, pp.176-177, 2004. ,
DOI : 10.1109/ISWC.2004.38
Multi-sensor Activity Context Detection for Wearable Computing, European Symposium on Ambient Intelligence, pp.220-232, 2003. ,
DOI : 10.1007/978-3-540-39863-9_17
URL : http://www.vision.ethz.ch/publ/kern_eusai03.pdf
Towards rich mobile phone datasets: Lausanne data collection campaign, Proc. ICPS, 2010. ,
From big smartphone data to worldwide research: The Mobile Data Challenge, Pervasive and Mobile Computing, vol.9, issue.6, pp.119-134, 2013. ,
DOI : 10.1016/j.pmcj.2013.07.014
A hybrid discriminative/generative approach for modeling human activities, Proceedings of the 19th International Joint Conference on Artificial Intelligence, pp.766-772, 2005. ,
Predicting Locations of Mobile Users Based on Behavior Semantic Mining, Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp.168-180, 2014. ,
DOI : 10.1007/978-3-319-13186-3_16
Recognizing human motion with multiple acceleration sensors, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236), pp.747-752, 2001. ,
DOI : 10.1109/ICSMC.2001.973004
Semantic place prediction by combining smart binary classifiers, Nokia Mobile Data Challenge Workshop, 2012. ,
Improvement of walking speed prediction by accelerometry and altimetry, validated by satellite positioning, Medical & Biological Engineering & Computing, vol.23, issue.Suppl 5, pp.164-168, 2000. ,
DOI : 10.1159/000177913
Activity identification using body-mounted sensorsa review of classification techniques, p.1, 2009. ,
Activity recognition from accelerometer data, AAAI, pp.1541-1546, 2005. ,
Using mobile phones to determine transportation modes, ACM Transactions on Sensor Networks, vol.6, issue.2, p.13, 2010. ,
DOI : 10.1145/1689239.1689243
URL : http://research.cens.ucla.edu/people/estrin/resources/journals/2010-feb-Reddy-Transportation-Modes.pdf
SenSay: a context-aware mobile phone, Seventh IEEE International Symposium on Wearable Computers, 2003. Proceedings., p.248, 2003. ,
DOI : 10.1109/ISWC.2003.1241422
URL : http://www.cs.cmu.edu/~aura/docdir/sensay_iswc.pdf
Exploring semi-supervised and active learning for activity recognition, 2008 12th IEEE International Symposium on Wearable Computers, pp.81-88, 2008. ,
DOI : 10.1109/ISWC.2008.4911590
Feature engineering for place category classification. Mobile Data Challenge, 2012. ,
An Analysis of Sensor-Oriented vs. Model-Based Activity Recognition, 2009 International Symposium on Wearable Computers, pp.93-100, 2009. ,
DOI : 10.1109/ISWC.2009.32