Human movement detection using attitude and heading reference system

ACM International Conference Proceeding Series

Volumn 2014-May, Issue , 2014, Pages

  Fourlas, George K ^a   Maglogiannis, Ilias ^b  

^a Technological Educational Institute of Central Greece (Lamia)   (Greece)

^b UNIVERSITY OF PIRAEUS   (Greece)

Author keywords

Fall detection; Healthcare applications; Sensors

Indexed keywords

COMPUTER APPLICATIONS; COMPUTER PROGRAMMING; SENSORS;

ATTITUDE AND HEADING REFERENCE SYSTEMS; FALL DETECTION; HEALTH CARE APPLICATION; HUMAN ACTIVITIES; INERTIAL MEASUREMENT UNIT; UNINTENTIONAL INJURIES; WEARABLE DEVICES; WORST CASE SCENARIO;

HEALTH CARE;

EID: 84939221875     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2674396.2674454     Document Type: Conference Paper

References (23)

1. Chia-Chi Wang, Chih-Yen Chiang, Po-Yen Lin, Yi-Chieh Chou, I-Ting Kuo, Chih-Ning Huang, and Chia-Tai Chan. Development of a fall detecting system for the elderly residents. In Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on, 2008.
2. K. Khoshhal, H. Aliakbarpour, J. Quintas, P. Drews, J. Dias-Probabilistic LMA-based Classification of Human Behaviour Understanding Using Power Spectrum Technique - Fusion 2010-13th International Conference on Information Fusion-EICC Edinburgh, UK, July 26-29 2010
3. K. Brewer, C. Ciolek, M. F. Delaune, "Falls in community dwelling older adults: Introduction to the problem," APTA Continuing Education Series, pp. 38-46, July 2007.
4. Changhua Healthcare Quality, http://www.qi.org.tw/.
5. U. Lindemann, A. Hock, M. Stuber, "Evaluation of a fall detector based on accelerometers: a pilot study," Medical & Biological Engineering & Computing, vol. 43, pp. 1146-1154, 2005.
6. N. Noury, P. Rumeau, A. K. Bourke, G. OLaighin, and J. E. Lundy, "A proposal for the classification and evaluation of fall detectors," IRBM, vol. 29, no. 6, pp. 340-349, 2008.
7. M. C. Chung, K. J.McKee, C. Austin et al., Posttraumatic stress disorder in older people after a fall," International Journal of Geriatric Psychiatry, vol. 24, no. 9, pp. 955-964, 2009.
8. S. Sadigh, A. Reimers, R. Andersson, and L. Laflamme, "Falls and fall-related injuries among the elderly: a survey of residential-care facilities in a Swedish municipality," Journal of Community Health, vol. 29, no. 2, pp. 129-140, 2004.
9. A. Shumway-Cook, A. M. Ciol, J. Hoffman, J. B. Dudgeon, K. Yorkston, and L. Chan, "Falls in the medicare population: incidence, associated factors, and on healthCare," Physical Therapy, vol. 89, no. 4, pp. 324-332, 2009.
10. S. Elliott, J. Painter, and S. Hudson, "Living alone and fall risk factors in community-dwelling middle age and older adults," Journal of Community Health, vol. 34, no. 4, pp. 301-310, 2009.
11. X. Yu, "Approaches and principles of fall detection for elderly and patient," in Proceedings of the 10th IEEE International Conference on E-Health Networking, Applications and Service (HEALTHCOM '08), pp. 42-47, Singapore, July 2008.
12. Gabriele Rescio, Alessandro Leone, and Pietro Siciliano. 2013. Supervised Expert System for Wearable MEMS Accelerometer-Based Fall Detector. Journal of Sensors Volume 2013.
13. Jeong Gil Ko, Chenyang Lu, Srivastava, M.B., Stankovic, J.A., Terzis, A., Welsh, M. 2010. Wireless Sensor Networks for Healthcare. Proceedings of the IEEE, Vol. 98, Issue: 11, pp 1947 - 1960.
14. C. Liolios, C. Doukas, G. Fourlas, I. Maglogiannis, 2010. An Overview of Body Sensor Networks in Enabling Pervasive Healthcare and Assistive Environments. 3rd International Conference on Pervasive Technologies Related to Assistive Environments (PETRA'10), Samos, Greece, June 23-25.
15. Abdelkrim Hadjidja, Marion Souila, Abdelmadjid Bouabdallaha, Yacine Challala, Henry Owen. 2013. Wireless Sensor Networks for Rehabilitation Applications: Challenges and Opportunities. Journal of Network and Computer Applications 36 (2013) 1-15.
16. Chao Chen, Carlos Pomalaza-Raez. 2010. Implementing and Evaluating a Wireless Body Sensor System for Automated Physiological Data Acquisition at Home. International Journal of Computer Science and Information Technology 2.3 (2010), pp24-38.
17. Tadej Beravs, Janez Podobnik, Marko Munih. 2012. Three-Axial Accelerometer Calibration Using Kalman Filter Covariance Matrix for Online Estimation of Optimal Sensor Orientation. IEEE Transactions on Instrumentation and Measurement, 61(9), pp. 2501 - 2511.
18. Ronit Slyper and Jessica K. Hodgins. 2008. Action Capture with Accelerometers. Proceedings of the 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, pp. 193-199.
19. D. M. Karantonis, M. R. Narayanan, M. Mathie, N. H. Lovell, B. G. Celler. 2006. Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring. IEEE Transactions on Information Technology in Biomedicine, vol. 10, no. 1, pp. 156-167.
20. G. Anania, A. Tognetti, N. Carbonaro et al. 2008. Development of a novel algorithm for human fall detection using wearable sensors. Proceedings of the IEEE Sensors (SENSORS '08), pp. 1336-1339, Lecce, Italy, October 2008.
21. A. K. Bourke, P. van de Ven, M. Gamble et al. 2010. "Evaluation of waist-mounted tri-axial accelerometer based fall-detection algorithms during scripted and continuous unscripted activities. Journal of Biomechanics, vol. 43, no. 15, pp. 3051-3057.
22. F. Bagala, C. Becker, A. Cappello et al. 2012. Evaluation of accelerometer-based fall detection algorithms on real-world falls. PLoS One, vol. 7, Article IDe3706.
23. S.K. Tasoulis, C.N. Doukas, V.P. Plagianakos, I. Maglogiannis, Statistical data mining of streaming motion data for activity and fall recognition in assistive environments, Neurocomputing, Volume 107, 1 May 2013, Pages 87-96.