Human activity recognition using a fuzzy inference system

IEEE International Conference on Fuzzy Systems

Volumn , Issue , 2009, Pages 1897-1902

  Helmi, Mohammad ^a   AlModarresi, S M T ^a  

^a YAZD UNIVERSITY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELERATION DATA; EXPERIMENTAL VALUES; FUZZY INFERENCE SYSTEMS; HUMAN ACTIVITIES; HUMAN ACTIVITY RECOGNITION; HUMAN MOTIONS; PEAK-TO-PEAK-; STANDARD DEVIATION; TRIAXIAL ACCELEROMETER;

ACCELEROMETERS; FORESTRY; FUZZY SYSTEMS; MEMBERSHIP FUNCTIONS;

FUZZY INFERENCE;

EID: 71249123300     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2009.5277329     Document Type: Conference Paper

References (15)

1. J. Y. Hwang, J. M. Kang, Y. W. Jang, H. C. Kim, "Development of Novel Algorithm and Real-Time Monitoring Ambulatory System Using Bluetooth Module for Fall Detection in the Elderly", Conf. Proc. IEEE Eng. Med. Biol. Soc., 3:2204-7, 2004.
2. C. Doukas, I. Maglogiannis, "Advanced Patient or Elder Fall Detection based on Movement and Sound Data", Second International Conference on Pervasive Computing Technologies for Healthcare, pp. 103-107, 2008.
3. J. Ben-Arie, Z. Wang, P. Pandit, S. Rajaram, "Human Activity Recognition Using Multidimensional Indexing", IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 24, no. 8, August, 2002.
4. R. D. Green, L. Guan, "Continuous Human Activity Recognition", 8th Int. Conf. on Control, Automation, Robotics and Vision, Kunming, China, Dec. 6-9, 2004.
5. A. Purwar, D. U. Jeong, W. Y. Chung, "Activity Monitoring from Real-Time Triaxial Accelerometer data using Sensor Network", International Conference on Control, Automation and Systems, Seoul, Korea, Oct. 17-20, 2007.
6. D. M. 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 Transactions on Information Technology in Biomedicine, vol. 10, pp. 156-167, 2006.
7. M. J. Mathie, B. G. Celler, N. H. Lovell, A. C. Coster, "Classification of Basic Daily Movements Using a Triaxial Accelerometer", Med. Biol. Eng. Comput., vol. 42, pp. 679-687, Sep. 2004.
8. J. Mantyla, J. Himberg, T. Seppanen, "Recognizing Human Motion with Multiple Acceleration Sensors", In IEEE International Conference on Systems, Man and Cybernetics, Tucson, USA, vol. 3494, pp. 747-752, 2001.
9. B. Najafi, K. Aminian, A. Paraschiv-Ionescu, F. Loew, C. J. Bula, P. Robert, "Ambulatory System for Human Motion Analysis Using a Kinematic Sensor: Monitoring of Daily Physical Activity in the Elderly", IEEE Trans. Biomed. Eng., 50:711-723, 2003.
10. D. O. Olgun, A. S. Pentland, "Human Activity Recognition: Accuracy Across Common Locations for Wearable Sensors", in Proceedings, IEEE 10th International Symposium on Wearable Computing (Student Colloquium Proceedings), 2006.
11. J.-Y. Yang, Y.-P. Chen, G.-Y. Lee, S.-N. Liou, J.-S. Wang, "Activity Recognition Using One Triaxial Accelerometer: A Neuro-Fuzzy Classifier with Feature Reduction", IFIP Inter. Fed. For Information Processing, ICEC, LNCS 4740, pp. 395-400, 2007.
12. R. Jafari, W. Li, R. Bajcsy, S. Glaser, S. Sastry, "Physical Acitvity Monitoring for Assisted Living at Home", Body Sensor Network, 2007.
13. E. I. Gaura, R. J. Rider, N. Steele, R. N. G. Naguib, "Neural-Network Compensation Methods for Capacitive Micromachined Accelerometers for Use in Telecare Medicine", IEEE Transactions on Information Technology in Biomedicine, Vol. 5, Issue 3., pp. 248-252, Sept. 2001.
14. G. H. Jin, S. B. Lee, T. S. Lee, "Context Awareness of Human Motion States Using Accelerometer", Springer Science, Business Media, LLC, pp. 93-100, 2008.
15. J-S.R. Jang, "ANFIS: Adaptive-Network-Based Fuzzy Inference System", IEEE Trans. on Systems, Man, and Cybernetics, vol. 23, no. 3, 1993.