Y. Jia, Diatetic and Exercise Therapy against Diabetes Mellitus, 2009 Second International Conference on Intelligent Networks and Intelligent Systems, pp.693-696, 2009.
DOI : 10.1109/ICINIS.2009.177

J. Mantyjarvi, J. Himberg, and T. Seppanen, 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

M. Sekine, T. Tamura, M. Akay, T. Fujimoto, T. Togawa et al., Discrimination of walking patterns using wavelet-based fractal analysis, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.10, issue.3, pp.188-196, 2002.
DOI : 10.1109/TNSRE.2002.802879

M. Ermes, J. Parkka, J. Mantyjarvi, and I. Korhonen, Frequent Bit Pattern Mining Over Triaxial Accelerometer Data Streams for Recognizing Human Activities and Detecting Fall, Procedia Computer Science, pp.56-63, 2013.

M. Zhang and A. Sawchuk, A Feature Selection-Based Framework for Human Activity Recognition Using Wearable Multimodal Sensors, Proceedings of the 6th International ICST Conference on Body Area Networks, 2011.
DOI : 10.4108/icst.bodynets.2011.247018

T. Bernecker, F. Graf, H. Kriegel, and C. Moennig, Activity Recognition on 3D Accelerometer Data, 2012.

D. M. Karantonis, M. R. Narayanan, M. Mathie, N. H. Lovell, and B. G. Celler, Implementation of a Real-Time Human Movement Classifier Using a Triaxial Accelerometer for Ambulatory Monitoring, IEEE Transactions on Information Technology in Biomedicine, vol.10, issue.1, 2006.
DOI : 10.1109/TITB.2005.856864

A. Khan, Y. Lee, S. Y. Lee, and T. Kim, A Triaxial Accelerometer-Based Physical-Activity Recognition via Augmented-Signal Features and a Hierarchical Recognizer, IEEE Transactions on Information Technology in Biomedicine, vol.14, issue.5, 2010.
DOI : 10.1109/TITB.2010.2051955

M. Zhang and A. Sawchuk, USC-HAD, Proceedings of the 2012 ACM Conference on Ubiquitous Computing, UbiComp '12, 2012.
DOI : 10.1145/2370216.2370438

A. M. Khan, Y. K. Lee, and S. Y. Lee, Accelerometer's position free human activity recognition using a hierarchical recognition model, The 12th IEEE International Conference on e-Health Networking, Applications and Services, 2010.
DOI : 10.1109/HEALTH.2010.5556553

A. Avci, S. Bosch, M. Marin-perianu, R. Marin-perianu, and P. Havinga, Activity Recognition Using Inertial Sensing for Healthcare, Wellbeing and Sports Applications: A Survey, 2010.

C. Burges, A tutorial on Support Vector Machines for Pattern Recognition, Data Mining and Knowledge Discovery, vol.2, issue.2, pp.121-167, 1998.
DOI : 10.1023/A:1009715923555

S. S. Keerthi, S. K. Shevade, C. Bhattacharyya, and K. R. Murthy, Improvements to Platt's SMO Algorithm for SVM Classifier Design, Neural Computation, vol.13, issue.3, pp.637-649, 2001.
DOI : 10.1080/10556789208805504

N. Ravi, N. Dandekar, P. Mysore, and M. L. Littman, Activity Recognition from Accelerometer Data, 2005.

M. Robnik-sikonja and I. Kononenko, An adaptation of Relief for attribute estimation in regression, pp.296-304, 1997.

T. Brezmes, J. L. Gorricho, C. , and J. , Activity Recognition from Accelerometer Data on a Mobile Phone, Soft Computing and Ambient Assisted Living, pp.796-79, 2009.
DOI : 10.1109/86.547939