IEEE Robotics & Automation Magazine - June 2011 - 95

[41] C. Randell and H. Muller, "Context awareness by analysing acceler-

signal," in Proc. 13th Int. Symp. Wearable Computers, New York: IEEE

ometer data," in Proc. 4th IEEE Int. Symp. Wearable Computers, 2000,
pp. 175-176.

Press, 2009, pp. 149-150.
[57] W. Dai, Y. Chen, G. Xue, Q. Yang, and Y. Yu, "Translated learning:

[42] M. Ko, G. West, S. Venkatesh, and M. Kumar, "Online context

Transfer learning across different feature spaces," in Proc. Neural Infor-

recognition in multisensor systems using dynamic time warping," in Proc.
Int. Conf. Intelligent Sensors, Sensor Networks and Information Processing,

mation Processing Systems (NIPS), 2008, pp. 353-360.
[58] F. Orabona, B. Caputo, A. Fillbrandt, and F. W.Ohl, "A theoretical

2005, pp. 283-288.

framework for transfer of knowledge across modalities in artificial and

[43] J.-Y. Yang, J.-S. Wang, and Y.-P. Chen, "Using acceleration measurements for activity recognition: An effective learning algorithm for con-

biological systems," in Proc. 8th Int. Conf. Development and Learning,
2009, pp. 1-7.

structing neural classifiers," Pattern Recognit. Lett., vol. 29, no. 16,

[59] T. van Kasteren, G. Englebienne, and B. Kr€
ose, "Transferring knowl-

pp. 2213-2220, 2008.
[44] G. Bailador and G. Trivin˜o, "Pattern recognition using temporal

edge of activity recognition across sensor networks," in Proc. 8th Int.
Conf. Pervasive Computing, 2010, pp. 283-300.

fuzzy automata," Fuzzy Sets Syst., vol. 161, no. 1, pp. 37-55, 2010.

[60] T. Huynh, M. Fritz, and B. Schiele, "Discovery of activity patterns

[45] D. Riboni and C. Bettini, "Context-aware activity recognition
through a combination of ontological and statistical reasoning," in

using topic models," in Proc. 10th Int. Conf. Ubiquitous Computing, New
York: ACM, 2008, pp. 10-19.

Ubiquitous Intelligence and Computing (Lecture Notes in Computer Science, vol. 5585), D. Zhang, M. Portmann, A.-H. Tan, and J. Indulska, Eds.

[61] D. H. Hu, V. W. Zheng, and Q. Yiang, "Cross-domain activity recog-

Berlin: Springer-Verlag, 2009, pp. 39-53.
[46] A. Ranganathan, J. Al-Muhtadi, and R. H. Campbell, "Reasoning
about uncertain contexts in pervasive computing environments," IEEE
Pervasive Comput. Mag., vol. 3, no. 2, pp. 62-70, 2004.
[47] S. McKeever, J. Ye, L. Coyle, and S. Dobson, "Using dempster-shafer
theory of evidence for situation inference," in Proc. 4th European Conf.
Smart Sensing and Context, (ser. EuroSSC'09). Berlin: Springer-Verlag,
2009, pp. 149-162.
[48] A. Benbasat and J. Paradiso, "An inertial measurement framework
for gesture recognition and applications," in Gesture and Sign Language
in Human-Computer Interaction, I. Wachsmuth and T. Sowa, Eds. Berlin:
Springer-Verlag, 2002, pp. 77-90.
[49] H. Harms, O. Amft, and G. Tr€
oster, "Modeling and simulation of
sensor orientation errors in garments," in Proc. 4th Int. Conf. Body Area
Networks, New York: ICST, 2009.
[50] D. Roggen, C. Lombriser, M. Rossi, and G. Tr€
oster, "Titan: An enabling framework for activity-aware "Pervasive Apps" in opportunistic
personal area networks," EURASIP J. Wireless Commun. Networking,
vol. 2011, 2011.
[51] K. F€orster, D. Roggen, and G. Tr€
oster, "Unsupervised classifier selfcalibration through repeated context occurences: Is there robustness

nition via transfer learning," Pervasive Mobile Comput., to be published.
[62] D. Corbett, "Comparing and merging ontologies: A concept type
hierarchy approach," in Proc. 14th Int. Symp. Methodologies for Intelligent
Systems, 2003, pp. 75-82.
[63] N. F. Noy, "Semantic integration: A survey of ontology-based
approaches," SIGMOD Rec., vol. 33, no. 4, pp. 65-70, 2004.
[64] M. Berchtold, M. Budde, D. Gordon, H. Schmidtke, and M. Beigl,
"Actiserv: Activity recognition service for mobile phones," in Proc. 14th
IEEE Int. Symp. Wearable Computers. New York: IEEE Press 2010.
[65] M. Stikic, D. Larlus, and B. Schiele, "Multi-graph based semi-supervised learning for activity recognition," in Proc. 13th IEEE Int. Symp.
Wearable Computers, 2009, pp. 85-92.
[66] M. Perkowitz, M. Philipose, K. Fishkin, and D. J. Patterson, "Mining
models of human activities from the web," in Proc. 13th Int. Conf. World
Wide Web (Ser. WWW'04), S. Feldman, M. Uretsky, M. Najork, and C.
Wills, Eds. New York: ACM, 2004, pp. 573-582.
[67] A. Calatroni, D. Roggen, and G. Tr€
oster, "A methodology to use
unknown new sensors for activity recognition by leveraging sporadic
interactions with primitive sensors and behavioral assumptions," in Proc.
Opportunistic Ubiquitous Systems Workshop 12th ACM Int. Conf. Ubiquitous Computing, 2010.

against sensor displacement to gain?" in Proc. 13th IEEE Int. Symp.

[68] K. F€
orster, A. Biasiucci, R. Chavarriaga, J. del R. Millan, D. Roggen,
and G. Tr€
oster, "On the use of brain decoded signals for online user

Wearable Computers, New York: IEEE Press, 2009, pp. 77-84.
[52] H. Bayati, J. d. R. Millan, and R. Chavarriaga, "Unsupervised adapta-

Computing, 2010, pp. 427-444.

adaptive gesture recognition systems," in Proc. 8th Int. Conf. Pervasive

tion to on-body sensor displacement in acceleration-based activity recognition," in Proc. 15th Int. Symp. Wearable Computers, New York: IEEE
Press, to be published.
[53] K. Kunze, G. Bahle, P. Lukowicz, and P. Partridge, "Can magnetic
field sensors replace gyroscopes in wearable sensing applications?" in
Proc. 14th Int. Symp. Wearable Computers. New York: IEEE Press, 2010.
[54] C. Mattmann, F. Clemens, and G. Tr€
oster, "Sensor for measuring
strain in textile," Sensors, vol. 8, no. 6, pp. 3719-3732, 2008.
[55] K. Kunze, P. Lukowicz, H. Junker, and G. Troester, "Where am I:
Recognizing on-body positions of wearable sensors," in Proc. 1st Int.
Workshop on Location- and Context-Awareness, T. Strang and C. Linnhoff-Popien, Eds. Berlin: Springer-Verlag, 2005, pp. 257-268.
[56] K. Kunze, P. Lukowicz, K. Partridge, and B. Begole, "Which way am
I facing: Inferring horizontal device orientation from an accelerometer

Daniel Roggen, Wearable Computing Laboratory, Swiss
Federal Institute of Technology, Z€
urich, Switzerland. E-mail:
droggen@gmail.com.
Stephane Magnenat, Autonomous Systems Laboratory,
Swiss Federal Institute of Technology, Z€
urich, Switzerland.
Markus Waibel, Institute for Dynamic Systems and Control, Swiss Federal Institute of Technology, Z€
urich,
Switzerland.
Gerhard Tr€oster, Wearable Computing Laboratory, Swiss
Federal Institute of Technology, Z€
urich, Switzerland.

JUNE 2011

*

IEEE ROBOTICS & AUTOMATION MAGAZINE

*

95
http://www.H.Hu
Table of Contents for the Digital Edition of IEEE Robotics & Automation Magazine - June 2011
