Ambient and wearable sensor fusion for activity recognition in healthcare monitoring systems

IFMBE Proceedings

Volumn 13, Issue , 2007, Pages 208-212

  Pansiot, Julien ^a   Stoyanov, Danail ^a   McIlwraith, Douglas ^a   Lo, Benny P L ^a   Yang, G Z ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Activity recognition; Blob sensor; Sensor fusion; Wearable sensor

Indexed keywords

BODY SENSOR NETWORKS; CLASSIFICATION (OF INFORMATION); GAUSSIAN DISTRIBUTION; PATTERN RECOGNITION;

ACTIVITY RECOGNITION; BAYES CLASSIFIER; CLASSIFICATION ACCURACY; EAR WORN ACTIVITY RECOGNITIONS (E AR); GAUSSIAN MIXTURE MODEL; HEALTHCARE MONITORING; INTRINSIC AMBIGUITIES; SENSOR FUSION;

WEARABLE SENSORS;

EID: 84885075598     PISSN: 16800737     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-70994-7_36     Document Type: Conference Paper

References (25)

1. Yang G-Z (2006) Body Sensor Networks
2. Verghese J, Lipton R B, Hall C B, Kuslansky G, Katz M J, Buschke H (2002) Abnormality of gait as a predictor for non-Alzheimer's dementia. N Engl J Med, 347:1761-1768
3. Stauffer C, Grimson W E L (2000) Learning patterns of activity using real-time tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22:747-757
4. Lo B P L, Wang J L, Yang G Z (2005) From imaging networks to behavior profiling: Ubiquitous Sensing for Managed Homecare of the Elderly. Proc. International Conference on Pervasive Computing (PERVASIVE 2005), pp. 101-104
5. Murphy K. Bayes Net Toolkit. http://bnt.sourceforge.net
6. Dempster A P, Laird N M, Rubin D B (1977) Maximum likelihood from incomplete data via the EM algorithm, by Journal of the Royal Statistical Society. Series B (Methodological) Royal Statistical Society
7. McKenna S J, Nait-Charif H (2004) Summarising contextual activity and detecting unusual inactivity in a supportive home environment. Pattern Analysis and Applications 7(4), 386-401, Springer-Verlag, December 2004
8. Horn B K P, Schunck B G (1981) Determining optical flow. Artificial Intelligence, vol 17, pp 185-203.
9. Wactlar H, Yang, Jie, Chen, D, Hauptmann A, Christel M (2004) Infrastructure for Machine Understanding of Video Observations in Skilled Care Facilities: Implications of Early Results from CareMedia Case Studies. UbiComp 2004: The 2nd International Workshop on Ubiquitous Computing for Pervasive Healthcare, Applications, Nottingham, U.K., September 6-7, 2004
10. Lee D-S (2005) Effective Gaussian Mixture Learning for Video Background Subtraction. IEEE Transactions on Pattern Analysis and Machine Intelligence,vol. 27, no. 5, pp. 827-832, May, 2005.
11. Pansiot J, Stoyanov D, Lo B P L, Yang G-Z (2006) Towards imagebased modeling for ambient sensing. International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2006), 3-5 April 2006
12. Amft O, Junker H, Lukowicz P, Troster G, Schuster C (2006) Sensing muscle activities with body-worn sensors. International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2006), 3-5 April 2006
13. Krebs D E, Huddleston J I, Goldvasser D, Scarborough D M, Harris W H, Malchau H (2006) Biomotion community-wearable human activity monitor: total knee replacement and healthy control subjects. International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2006), 3-5 April 2006
14. Grajales L, Nicolaescu IV (2006) Wearable multisensor heart rate monitor. International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2006), 3-5 April 2006
15. Laerhoven K V, Gellersen H W, Malliaris Y G (2006) Long term activity monitoring with a wearable sensor node. International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2006), 3-5 April 2006
16. Aziz O, Lo B, King R, Darzi A, Yang G-Z (2006) Pervasive body sensor network: an approach to monitoring the post-operative surgical patient. International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2006), 3-5 April 2006
17. Giorgino T, Quaglini S, Lorassi F, De Rossi D (2006) Experiments in the detection of upper limb posture through kinestetic strain sensors. International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2006), 3-5 April 2006
18. Park C, Pai H, Chou, Bai Y, Matthews R, Hibbs A (2006) An Ultra- Wearable, Wireless, Low Power ECG Monitoring System, to appear in Proc. IEEE BioCAS, Nov 29 - Dec 1, 2006. The British Library, London.
19. Reeves A A, Ng J W P, Brown S J, Barnes N M (2006) Remotely supporting care provision for older adults. International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2006), 3-5 April 2006
20. Lo B, Yang G-Z (2005) Key Technical Challenges and Current Implementations of Body Sensor Networks. IEE Proceedings of the 2nd International Workshop on Body Sensor Networks (BSN 2005), 1-5, April 2005
21. Chen D, Malkin R, Yang J (2004) Multimodal detection of human interaction events in a nursing home environment. Proceedings of the 6th international Conference on Multimodal interfaces (State College, PA, USA, October 13 - 15, 2004). ICMI '04. ACM Press, New York, NY, 82-89.
22. McCullough C L, Dasarathy B V, Lindberg P C (1996) Multi-level sensor fusion for improved target discrimination, Decision and Control. Proceedings of the 35th IEEE, vol.4, no.pp.3674-3675 vol.4, 11- 13 Dec 1996
23. Lahanas M, Kemmerer T, Milickovic N, Karouzakis K, Baltas D, Zamboglou N (2000) Optimized bounding boxes for threedimensional treatment planning in brachytherapy. Medical Physics 27 (10): 2333-2342 October 2000
24. Wang J, Lo B P L, Yang G-Z (2005) Ubiquitous Sensing For Posture/ Behavior Analysis. IEE Proceedings of the 2nd International Workshop on Body Sensor Networks (BSN 2005), pp.112-115, April 2005.
25. Cutler R, Davis L (1998) View-based detection and analysis of periodic motion. International Conference on Pattern Recognition, Brisbane, Australia, August 1998