Abnormal human activity recognition using SVM based approach

International Conference on Recent Trends in Information Technology, ICRTIT 2012

Volumn , Issue , 2012, Pages 97-102

  Palaniappan, Adithyan ^a   Bhargavi, R ^a   Vaidehi, V ^a  

^a ANNA UNIVERSITY   (India)

Author keywords

Classification; Human Activity; Multi class SVM; State Transition; Tele health Care

Indexed keywords

ACTIVITY DETECTION; COMPUTATIONAL TIME; CONVENTIONAL APPROACH; HEALTH CARE APPLICATION; HUMAN ACTIVITIES; HUMAN ACTIVITY RECOGNITION; MULTICLASS SVM; SIMULATION STUDIES; STATE TRANSITIONS; TELEHEALTH; TRANSITION TABLE; UNEXPECTED EVENTS; UNREACHABLE STATES; WEARABLE SENSORS;

CLASSIFICATION (OF INFORMATION); HEALTH CARE; UBIQUITOUS COMPUTING;

INFORMATION TECHNOLOGY;

EID: 84862873843     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRTIT.2012.6206829     Document Type: Conference Paper

References (19)

1. Jie Yin, Qiang Yang & Jeffrey Junfeng Pan, "Sensor-Based Abnormal Human-Activity Detection", IEEE Trans. on Knowledge & Data Engg. Vol. 20. No. 8, August 2008 pp: 1082-1090
2. Jae Hyuk Shin, Boreom Lee, and Kwang Suk Park, "Detection of abnormal living patterns for elderly living alone using Support vector data description", IEEE Transactions on Information Technology in Biomedicine, Vol. 15, No. 3, May 2011 pp: 438-448
3. Belkacem Chikhaoui, Shengrui Wang & Helene Pigot, "A Frequent Pattern Mining Approach for ADLs Recognition in Smart Environments", 2011 International Conference on Advanced Information Networking and Applications, IEEE Computer Society, 2011 pp: 248-255
4. Chongming Zhang, Chunmei Wang, Xi Zhou, Chuanshan Gao, Huafeng Wu, "Sensor Health Monitoring in Wireless Sensor Network", 2009 WASE International Conference on Information Engineering, Sep 2009 pp:337 -341
5. Eunju Kim, Sumi Helal, Diane Cook, "Human Activity Recognition and Pattern Discovery", Pervasive Computing, Published by IEEE, Oct 2010 pp: 48-63
6. Hasan, M.K., Rubaiyeat, H.A., Yong-Koo Lee and Sungyoung Lee, "A Reconfigurable HMM for Activity Recognition", 10th IEEE International Conference on Advanced Communication Technology, 2008 pp: 843-846
7. th World Congress on Intelligent Control and Automation, June 2008, pp: 3766-3771
8. Andrew Gilbert, John Illingworth & Richard Bowden, "Action Recognition Using Mined Hierarchical Compound Features", IEEE Trans. on Pattern Analysis & Machine Intelligence, Vol. 33, May 2011. pp: 883-897
9. L. Chen, C.D. Nugent & H. Wang, "A Knowledge-Driven Approach to Activity Recognition in Smart Homes", IEEE Trans. on Knowledge & Data Engg. Issue 99 Feb 2011 pp: 524-537
10. Liang Wang, Tao Gu, Hanhua Chen, Xianping Tao and Jian Lu, "Real-time Activity Recognition in Wireless Body Sensor Networks: From Simple Gestures to Complex Activities", 6th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2010 pp: 43-52
11. Louis Atallah, Benny Lo, Rachel King, Guang-Zhong Yang, "Sensor Positioning for Activity Recognition using Wearable Sensor Networks", IEEE Transactions on Biomedical Circuits and Systems, Vol 5, No.4, August 2011pp: 320-339
12. NingSuo and Xu Qian, "A comparison of Features Extraction Method for HMM-based Motion Recognition", 2nd Conference on Environmental Science and Information Application Technology, IEEE, 2010 pp: 636-639
13. Parisa Rashidi, Diane J. Cook, Lawrence B. Holder & Maureen Schmitter, "Discovering Activities to Recognize and Track in a Smart Environment", IEEE Trans. on Knowledge & Data Engg., Vol 23., April 2011. pp: 527-539
14. Tao Gu, Liang Wang, Zhanqing Wu, Xianping Tao & Jian Lu, "Pattern Mining Approach to sensor-based Human Activity Recognition", IEEE Trans. on Knowledge & Data Engg. Vol 23. 2011. pp: 1359-1372
15. th International Conference on Mobile and Ubiquitous Systems, 2009. pp: 1-10
16. Zhenyu He and Lianwen Jin, "Activity Recognition from acceleration data Based on Discrete Consine Transform and SVM", IEEE International Conference on Systems Man and Cybernetics, 2009 pp: 5041-5044
17. Zhenyu He and Lianwen Jin, "Activity recognition from acceleration data using AR Model Representation and SVM", Proceedings of the Seventh International Conference on Machine Learning and Cybernetics, July 2008 pp: 2245-2250
18. DLR Human Activity Recognition with Inertial Sensors http://www.kns.dlr. de/activity/
19. Christopher J.C. Burges, "A tutorial on support vector machines for pattern recognition", Data Mining and Knowledge Discovery, ACM, Vol. 2, 1998 pp: 121-167