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be generally suitable for other cases and for different
sensors. Future work will evaluate new algorithms,
which can separate motion and motionless activities
automatically, without the need for static thresholds.
REFERENCES
Andreu, J. and Angelov, P. (2013). An evolving machine
learning method for human activity recognition sys-
tems. Journal of Ambient Intelligence and Humanized
Computing.
Bao, L. and Intille, S. (2004). Activity recognition from
user-annotated acceleration data. Pervasive Comput-
ing.
Choudhury, T. and Consolvo, S. (2008). The mobile sensing
platform: An embedded activity recognition system.
IEEE2008 Pervasive Computing.
Frederking, R. and Brown, R. (2010). The pangloss-lite ma-
chine translation system. In Proceedings of the Second
Conference of the Association for Machine Transla-
tion in the Americas.
Huerta-Canepa, G. and Lee, D. (2010). A virtual cloud
computing provider for mobile devices. In Proceeding
of the 1st ACM Workshop on Mobile Cloud Computing
& Services: Social Networks and Beyond.
J.R. Kwapisz, G. W. and Moore, S. (2010). Activity recog-
nition using cell phone accelerometers. In Proceed-
ings of the Fourth International Workshop on Knowl-
edge Discovery from Sensor Data.
Khan, A., Lee, Y., Lee, S., and Kim, T. (2010). Human
activity recognition via an accelerometer-enabled-
smartphone using kernel discriminant analysis. In 5th
International Conference on Future Information Tech-
nology.
Lyons, G., Culhane, K., Hilton, D., Grace, P., and Lyons,
D. (2005). A description of an accelerometer-based
mobility monitoring technique. Medical Engineering
& Physics.
Marinelli, E. (2009). Hyrax: cloud computing on mobile
devices using mapreduce. Master’s thesis, Carnegie
Mellon University.
Maurer, U., Samilagic, A., Siewiorek, D., and Deisher, M.
(2006). Activity recognition and monitoring using
multiple sensors on different body positions. In IEEE
Proceedings on the International Workshop on Wear-
able and Implantable Sensor Networks.
Ravi, N., Dandekar, N., Mysore, P., and Littman, M. L.
(2005). Activity recognition from accelerometer data.
In Proceeding of the National Conference on Artificial
Intelligence.
Samsung Inc. (2012). Android smartphone: Sam-
sung galaxy siii. Description Available online at
http://en.wikipedia.org/wiki/Samsung
Galaxy S III.
Singer, E. (2011). The measured life. In Technology Review,
volume 114.
Skelton, D. and McLaughlin, A. (1996). Train functional
ability in old age. Physiotherapy.
Stefan, D., Das, B., Krishnan, N., Thomas, B., and Cook,
D. (2012). Simple and complex activity recognition
through smart phones. In 8th International Confer-
ence on Intelligent Environments.
Tapia, E., Intille, S., Haskell, W., Larson, K., and Friedman,
R. (2007). Real-time recognition of physical activities
and their intensities using wireless accelerometers and
a heart rate monitor. In Proceedings of the 11th IEEE
International Symposium on Wearable Computers &
Physics.
Tapia, E., Intille, S., and Larson, K. (2004). Activity recog-
nition in the home setting using simple and ubiquitous
sensors. In Proceedings of PERVASIVE.
White, D., Wagenaar, R., and Ellis, T. (2001). Monitoring
activity in individuals with parkinson’s disease: A va-
lidity study. Jurnal of Neurological Physical Therapy,
30.
Witten, H., Frank, E., and Hall, A. (2011). Data Min-
ing: Practical machine learning tools and techniques.
Morgan Kaufmann, San Francisco, 3rd edition edi-
tion.
Yuan, B. and Herbert, J. (2011a). Non-intrusive movement
detection in cara pervasive healthcare application. In
The 2011 International Conference on Wireless Net-
works.
Yuan, B. and Herbert, J. (2011b). Web-based real-time re-
mote monitoring for pervasive healthcare. In IEEE In-
ternational Conference on Pervasive Computing and
Communications Workshops (PERCOM Workshops).
Yuan, B. and Herbert, J. (2012). Fuzzy cara - a fuzzy-based
context reasoning system for pervasive healthcare. In
Procedia Computer Science, volume 10.
Zephyr Inc. (2011). Wireless professional heart rate
monitor & physiological monitor with bluetooth.
Description Available online at http://www.zephyr-
technology.com/products/bioharness-3/.
Zhang, S., McCullagh, P., Nugent, C., and Zheng, H.
(2010). Activity monitoring using a smart phone’s ac-
celerometer with hierarchical classification. In 6th In-
ternational Conference on Intelligent Environments.
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