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J.J.C. Ho. Interruptions: using activity transitions to trigger proactivemessages. Ph.D. thesis, Massa-
chusetts Institute of Technology, 2004
M.D. Karantonis, M.R. Narayanan, M. Mathie, N.H. Lovell, B.G. Celler, Implementation of a real-
time human movement classifier using a triaxial accelerometer for ambulatory monitoring. IEEE
Trans. Inf. Technol. Biomed. 10 , 156-167 (2006)
M. Kästner, M. Strickert, T. Villmann, in A Sparse Kernelized Matrix Learning Vector Quantization
Model for Human Activity Recognition, European Symposium on Artificial Neural Networks ,
Computational Intelligence and Machine Learning, 2013
A.M. Khan, Y.K Lee, S.Y Lee, T.S Kim, in Human Activity Recognition via an Accelerometer-
Enabled-Smartphone Using Kernel Discriminant Analysis , IEEE International Conference on
Future Information Technology, 2010
K.V. Laerhoven, O. Cakmakci, in What Shall We Teach Our Pants International Symposium on
Wearable Computers, 2000
A. Reiss, G. Hendeby, D. Stricker, in A Competitive Approach for Human Activity Recognition on
Smartphones , European Symposium on Artificial Neural Networks, Computational Intelligence
and Machine Learning, 2013
J.L. Reyes-Ortiz, D. Anguita, A. Ghio, L. Oneto, X. Parra. Human activity recog-
nition
using
smartphones
data
set
(2013),
http://archive.ics.uci.edu/ml/datasets/
Human+Activity+Recognition+Using+Smartphones
J.L. Reyes-Ortiz, D. Anguita, A. Ghio, L. Oneto, X. Parra. Recognition of basic activities and
postural transitions using smartphones data set (2014), http://www.har.smartlab.ws
D. Rodríguez-Martín. Sistema inercial vestible amb capacitat de desenvolupament implementació
algorísmica. Master's thesis, Universitat Politècnica de Catalunya, 2010
D. Rodríguez-Martín, C. Pérez-López, A. Samà, J. Cabestany, A. Català, A wearable inertial mea-
surement unit for long-term monitoring in the dependency care area. Sens 13, 14079-14104,
(2013a)
D. Rodríguez-Martín, A. Samà, C. Perez-Lopez, A. Català, J. Cabestany, A. Rodriguez-Molinero,
Svm-based posture identification with a single waist-located triaxial accelerometer. Expert. Syst.
Appl. 40 , 7203-7211 (2013b)
D. Roggen, A. Calatroni, M. Rossi, T. Holleczek, K. Förster, G. Tröster, P. Lukowicz, D. Bannach,
G. Pirkl, A. Ferscha, in Collecting Complex Activity Data Sets in Highly Rich Networked Sensor
Environments , International Conference on Networked Sensing Systems, 2010
B. Romera-Paredes, H. Aung, N. Bianchi-Berthouze, in A One-vs-One Classifier Ensemble With
Majority Voting for Activity Recognition , European SymposiumArtificial Neural Networks, Com-
putational Intelligence Machine Learn, 2013
K. Roth, I. Kauppinen, P.A.A. Esquef, V. Valimaki, in Frequency Warped Burg's Method For Ar-
Modeling , IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2003
A. Samà, Human movement analysis by means of accelerometers: application to human gait and
motor symptoms of Parkinsons disease. Ph.D. thesis, Universitat Politécnica de Catalunya (2013)
A. Samà, C. Angulo, D. Pardo, A. Català, J. Cabestany, Analyzing human gait and posture by
combining feature selection and kernel methods. Neuro Comput 74 , 2665-2674 (2011)
E. Tapia, S. Intille, L. Lopez, K. Larson, in The Design of A Portable Kit of Wireless Sensors for
Naturalistic Data Collection , Pervasive Computing, 2006
J. Wang, Q. Chen, Y. Chen, in Rbf Kernel Based Support Vector Machine With Universal Approxi-
mation and its Application , Advances in Neural Networks—ISNN, 2004
J.Y. Yang, J.S. Wang, Y.P. Chen, Using acceleration measurements for activity recognition: an
effective learning algorithm for constructing neural classifiers. Pattern Recogn. Lett. 29 , 2213-
2220 (2008)
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