Accurate monitoring of human physical activity levels for medical diagnosis and monitoring using off-the-shelf cellular handsets

Personal and Ubiquitous Computing

Volumn 15, Issue 7, 2011, Pages 667-678

  Hynes, Martin ^a   Wang, Han ^a   McCarrick, Eleanor ^a   Kilmartin, Liam ^a  

^a NATIONAL UNIVERSITY OF IRELAND   (Ireland)

Author keywords

Healthcare; Mobile computing; Pervasive computing

Indexed keywords

ACCELEROMETRY; ACTIVITY ANALYSIS; CELLULAR HANDSETS; CUSTOM HARDWARES; HEALTHCARE FACILITY; HOME ENVIRONMENT; MEDICAL PROFESSIONALS; MOBILE HANDSETS; PHYSICAL ACTIVITY LEVELS;

ACCELEROMETERS; DIAGNOSIS; HEALTH CARE; PATIENT MONITORING; UBIQUITOUS COMPUTING;

TELEPHONE SETS;

EID: 80054895099     PISSN: 16174909     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00779-010-0345-1     Document Type: Article

References (14)

1. Ibrahim RK, Ambikairajah E, Celler B, Lovell NH, Kilmartin L (2008) Gait patterns classification using spectral features. In: Proceedings of the IET Irish signals and systems conference, June 2008, pp 98-102
2. Han JH, Jeon HS, Park KS (2008) Gait detection from three dimensional acceleration signals of ankles for patients with Parkinson's disease. In: Proceedings of the international conference on technology and applications in biomedicine, ITAB 2008, May 2006, pp 349-352
3. Yoshida T, Mizuno F, Hayasaka T, Tsubota K, Wada S, Yamaguchi T (2006) Gait analysis for detecting a leg a accident with an accelerometer. In: Proceedings of the transdisciplinary conference on distributed diagnosis and home healthcare
4. Slawson SE, Justham LM, West PP, Conway MP, Caine MP, Harrison R (2008) Accelerometer profile recognition of swimming strokes. The engineering of sport 7. Springer, Paris, pp 81-87
5. DeLisa JA, Casey K (1998) Gait analysis in the science of rehabilitation. DIANE Publishing, Darby
6. Iso T, Yamazaki K (2006) Gait analyzer based on a cell phone with a single three-axis accelerometer. In: MobileHCI '06: Proceedings of the 8th conference on Human-computer interaction with mobile devices and services, pp 141-144 (Pubitemid 47140800)
7. Annavaram M, Medvidovic N, Mitra U, Narayanan S, Sukhatme G, Meng Z, Qiu S, Kumar R, Thatte G, Spruijt-Metz D (2008) Multimodal Sensing of pediatric obesity applications. In: Proceedings of urbansense 2008, Nov 2008, pp 21-25
8. Mladenov M, Mock M (2009) A step counter service for java-enabled devices using a built-in accelerometer. In: Proceedings of the 1st international workshop on context-aware middleware and services: affiliated with the 4th international conference on communication system software and middleware (COMSWARE 2009), June 2009
9. Vajk T, Bamford W, Coulton P, Edwards R (2007) Using a mobile phone as a 'Wii like' controller. In: Proceedings of cybergames 2007, Sep 2007
10. Arensman WL, Whipple JG, Boler MS (2009) A public safety application of GPS-enabled smartphones and the android operating system. In: Proceedings of systems, man and cybernetics (SMC 2009), Oct 2009
11. Chen KY, Acra SA, Majchrzak K, Donahue CL, Baker L, Clemens L, Sum M, Buchowski MS (2003) Predicting energy expenditure of physical activity using hip- and wrist-worn accelerometers. Diabetes Technol Ther 5(6):1023-1033 (Pubitemid 38009942)
12. Niezen G, Hancke GP (2008) Gesture recognition as ubiquitous input for mobile phones. In: Proceedings of ubiquitous computing (UbiComp 2008), Sep 2008
13. Gimeno J, Morillo P, Coma I, Fernández M (2009) A Device-independent 3D user interface for mobile phones based on motion and tracking. In: Proceedings of the 2009 International conference on image processing, computer vision and pattern recognition (IPCV 2009), July 2009
14. Kilmartin L, Ibrahim RK, Ambikairajah E, Celler B (2009) Optimising recognition rates for subject independent gait pattern classification. In: Proceedings of the IET Irish signals and systems conference 2009, June 2009