Activity detection using frequency analysis and off-the-shelf devices: Fall detection from accelerometer data

2011 5th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2011

Volumn , Issue , 2011, Pages 362-365

  Bersch, S D ^a   Chislett, C M J ^a   Azzi, D ^a   Kusainov, R ^a   Briggs, J S ^a  

^a UNIVERSITY OF PORTSMOUTH   (United Kingdom)

Author keywords

Accelerometer; Activity Detection; Fall Recognition; Remote Healthcare Delivery

Indexed keywords

ACCELEROMETER DATA; ACTIVITY DETECTION; FALL DETECTION; FALL RECOGNITION; FREQUENCY ANALYSIS; LIVING ALONE; REMOTE HEALTHCARE DELIVERY; SAMPLING RATES; SITTING DOWN; TEXAS INSTRUMENTS; WALKING ACTIVITY; WELLBEING;

FOURIER ANALYSIS; HEALTH CARE; METADATA; UBIQUITOUS COMPUTING;

ACCELEROMETERS;

EID: 80054924312     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.4108/icst.pervasivehealth.2011.246119     Document Type: Conference Paper

References (8)

1. Office for National Statistics, "Ageing," http://www. statistics.gov.uk/cci/nugget.asp?id=949 Accessed 24th February 2011.
2. Dimension Engineering, "A beginner's guide to accelerometers," http://www.dimensionengineering.com/accelerometers.htm Accessed 24th February 2011.
3. J. R. Kwapisz, G. M. Weiss, and S. A. Moore, "Activity Recognition using Cell Phone Accelerometers," Human Factors, pp. 10-18, 2010.
4. N. Ravi, N. Dandekar, P. Mysore, and M. L. Littman, "Activity Recognition from Acceleration Data," in Proceedings of the 17th Conference on Innovative Application of Artificial Intelligence 2005, pp. 1541-1546.
5. U. Maurer, A. Smailagic, D. P. Siewiorek, and M. Deisher, "Activity recognition and monitoring using multiple sensors on different body positions," in Wearable and Implantable Body Sensor Networks, 2006. BSN 2006. International Workshop on, 2006, pp. 4 pp.-116.
6. J. Pärkkä, L. Cluitmans, and M. Ermes, "Personalization Algorithm for Real-Time Activity Recognition Using PDA, Wireless Motion Bands, and Binary Decision Tree," Information Technology in Biomedicine, IEEE Transactions on, vol. 14, pp. 1211-1215, 2010.
7. S. J. Preece, J. Y. Goulermas, L. P. J. Kenney, and D. Howard, "A Comparison of Feature Extraction Methods for the Classification of Dynamic Activities From Accelerometer Data," Biomedical Engineering, IEEE Transactions on, vol. 56, pp. 871-879, 2009.
8. T. Huynh and B. Schiele, "Analyzing features for activity recognition," in Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies Grenoble, France: ACM, 2005, pp. 159-163.