Detecting falls with location sensors and accelerometers

Proceedings of the National Conference on Artificial Intelligence

Volumn 2, Issue , 2011, Pages 1662-1667

  Lustrek, Mitja ^a   Gjoreski, Hristijan ^a   Kozina, Simon ^a   Cvetković, Bozǐdara ^a   Mirchevska, Violeta ^b   Gams, Matjaž ^a  

^a JO EF STEFAN INSTITUTE   (Slovenia)

^b doo   (Slovenia)

Author keywords

[No Author keywords available]

Indexed keywords

FALL DETECTION; LOCATION BASED; LOCATION SENSORS; PERCENTAGE POINTS; RADIO SENSORS; RAPID AGING; TECHNICAL SOLUTIONS;

ARTIFICIAL INTELLIGENCE; SENSORS;

ACCELEROMETERS;

EID: 80055045800     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. Alwan, M., Rajendran, P. J., Kell, S., Mack, D., Dalai, S., Wolf, M., and Felder, R. 2006. A Smart and Passive Floor-Vibration Based Fall Detector for Elderly. In Proceedings of ICTTA '06, 23-28.
2. Anderson, D., Luke, R. H., Keller, J. M., Skubic, M., Rantz, M. J., and Aud, M. A. 2009. Modeling Human Activity From Voxel Person Using Fuzzy Logic. IEEE Transactions on Fuzzy Systems 17(1):39-19.
3. Bourke, A. K., and Lyons, G. M. 2008. A Threshold-Based Fall-Detection Algorithm Using a Bi-Axial Gyroscope Sensor. Medical Engineering & Physics 30: 84-90.
4. Confidence project 2011. http://www.confidence-eu.org/.
5. Coutaz, J., Crowly, J. L., Dobson, S., and Garlan, D. 2005. Context is Key. Communications of the ACM 48(3):49-52.
6. Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., and Witten, I. H. 2009. The WEKA Data Mining Software: An Update. SIGKDD Explorations 11(1):10-18.
7. Jantaraprim, P., Phukpattaranont, P., Limsakul, C., and Wongkittisuksa, B. 2009. Evaluation of Fall Detection for the Elderly on a Variety of Subject Groups. In Proceedings of i-CREATe 2009.
8. Kaluža, B., Mirchevska, V., Dovgan, E., Luštrek, M., and Gams, M. 2010. An agent-based approach to care in independent living. In Proceedings of AmI 2010, 177-186.
9. Li, Q., Stankovic, J. A., Hanson, M. A., Barth, A. T., Lach, J., and Zhou, G. 2009. Accurate, Fast Fall Detection Using Gyroscopes and Accelerometer-Derived Posture Information. In 2009 Proceedings of Sixth International Workshop on Wearable and Implantable Body Sensor Networks, 138-143.
10. Lustrek, M., and Kaluža, B. 2009. Fall detection and activity recognition with machine learning, Informatica 33(2):197-204.
11. Lustrek, M., Kaluža, B., Dovgan, E., Pogorelc, B., and Gams, M. 2009. Behavior analysis based on coordinates of body tags. In Lecture Notes in Computer Science 5859, 14-23.
12. Lustrek, M., Kaluža, B., Piltaver, R., Krivec, J., and Vidulin, V. 2010. Localization Data for Person Activity Data Set. http://archive.ics.uci. edu/ml/datasets/Localization+Data+for+Person+Activity.
13. Mirchevska, V., Kaluža, B., Lužtrek, M., and Gams, M. 2010. Real-Time Alarm Model Adaptation Based on User Feedback. In Proceedings of Workshop on Ubiquitous Data Mining, ECAI 2010, 39-13.
14. Mirchevska, V., Luštrek, M., and Gams, M. 2009. Combining Machine Learning and Expert Knowledge for Classifying Human Posture. In Proceedings of ERK 2009, 183-186.
15. Nguyen, T.-T., Cho, M.-C., and Lee, T.-S. 2009. Automatic Fall Detection Using Wearable Biomedical Signal Measurement Terminal. In Proceedings of 31st Annual International Conference of the IEEE EMBS, 5203-5206.
16. Shan, S., and Yuan, T. 2010. A Wearable Pre-Impact Fall Detector Using Feature Selection and Support Vector Machine. In Proceedings of ICSP'10, 1686-1689.
17. Tinetti, M. E., and Williams, C. S. 1997. Falls, Injuries Due to Falls, and the Risk of Admission to a Nursing Home. The New England Journal of Medicine 337: 1279-1284. (Pubitemid 27461284)
18. Ubisense RTLS 2011. http://www.ubisense.net/.
19. United Nations 2009. World Population Ageing. Report.
20. Zhang, T., Wang, J., Liu, P., and Hou, J. 2006. Fall Detection by Wearable Sensor and One-Class SVM Algorithm. In Lecture Notes in Control and Information Science 345, 858-863.
21. Zhuang, X., Huang, J., Potamianos, G., and Hasegawa-Johnson, M. 2009. Acoustic Fall Detection Using Gaussian Mixture Models and GMM Supervectors. In Proceedings of ICASSP 2009, 69-72.