Online motion recognition using an accelerometer in a mobile device

Expert Systems with Applications

Volumn 39, Issue 3, 2012, Pages 2461-2465

  Fuentes, D ^a   Gonzalez Abril, L ^a   Angulo, C ^b   Ortega, J A ^a  

^a UNIVERSITY OF SEVILLE   (Spain)

^b UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

Features extraction; Pattern recognition; SVM

Indexed keywords

CLASSIFICATION FUNCTIONS; FEATURES EXTRACTION; HUMAN ACTIVITIES; MOTION RECOGNITION; ONLINE EXPERIMENT; STATISTICAL STUDY; SVM;

ACCELEROMETERS; LEARNING ALGORITHMS; MOBILE DEVICES; MOBILE PHONES; TELEPHONE; TELEPHONE SETS;

FEATURE EXTRACTION;

EID: 80255138194     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.08.098     Document Type: Article

References (17)

1. J.A. Alvarez, C. Perez, C. Angulo, and J.A. Ortega Combining smart tags and body fixed sensors for disabled people assistance Lecture Notes in Computer Science 4693 2007 10 17
2. A.F. Bobick, and J.W. Davis The recognition of human movement using temporal templates SThe Recognition of Human Movement Using Temporal Templates 23 3 2001 257 267 (Pubitemid 32286632)
3. N. Bu, M. Okamoto, and T. Tsuji A hybrid motion classi-fication approach for EMG-based human-robot interfaces using Bayesian and neural networks IEEE Transactions on Robotics 25 3 2009 502 511
4. D. Cao, O.T. Masoud, D. Boley, and N. Papanikolopoulos Human motion recognition using support vector machines Computer Vision and Image Understanding 113 10 2009 1064 1075
5. Gonzalez-Abril, L.; Angulo, C.; Velasco, F.; & Ortega, J. A. (2012). A study on output normalization in multiclass SVMs. Neural Processing Letters, submitted for publication.
6. Gonzalez, L.; Angulo, C.; Velasco, F.; & Catala, A. (2006). Dual unification of bi-class support vector machine formulations. In Pattern RecognitionVol. 39, No. 7 (pp. 1325-1332).
7. Hein, A.; & Kirste, T. (2007). A hybrid approach for recognizing ADLs and care activities using inertial sensors and RFID. In Proceedings of third intl. conf. intelligent sensors, sensor networks and information processing (pp. 1-7).
8. Li, T.; & Ge, M. (2009). Human motion recognition using ultra-wideband radar and cameras on mobile robot. In Transactions of Tianjin University (Vol. 15, pp. 381-387).
9. F. Matta, and J.L. Dugelay Person recognition using facial video information: A state of the art Journal of visual languages and computing 20 3 2009 180 187
10. S. Nayak, S. Sarkar, and B. Loeding Distribution-based dimensionality reduction applied to articulated motion recognition IEEE Transactions on Pattern Analysis and Machine Intelligence 31 5 2009
11. Openmoko Wiki, Openmoko Main Page, (2010). .
12. J. Parera, C. Angulo, and A. Rodriguez-Molinero User daily activity classification from accelerometry using feature selection and SVM Lecture Notes in Computer Science 5517 2009 1137 1144
13. Rogez, G.; Rihan, J.; & Ramalingam, S. (2008). Randomized trees for human pose detection, In IEEE Conference on Computer Vision and Pattern Recognition (pp. 1-8).
14. Sminchisescu, C.; Kanaujia, A.; Li, Z.; & Metaxas, D. (2006). Conditional models for contextual human motion recognition. In Computer Vision and Image Understanding.
15. V.N. Vapnik Statistical learning theory 1998 Editorial John Wiley & Sons
16. Wikia Education, Center of mass, (2010). .
17. T. Zhang, J. Wang, P. Liu, and J. Hou Fall detection by embedding an accelerometer in cellphone and using KFD algorithm Proceedings of international journal of computer science and network security 6 10 2006 277 284