Activity monitoring using an intelligent mobile phone a validation study

ACM International Conference Proceeding Series

Volumn , Issue , 2010, Pages

  Huang, Yan ^a   Zheng, Huiru ^a   Nugent, Chris ^a   McCullagh, Paul ^a   McDonough, Suzanne M ^a   Tully, Mark A ^b   Connor, Sean O ^a  

^a UNIVERSITY OF ULSTER   (United Kingdom)

^b QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

Author keywords

Acceleration signal processing; Activity monitoring; Adaptive step detection algorithm; Intelligent mobile phone; Wearable position validation

Indexed keywords

ACCELERATION SIGNALS; ACTIVITY MONITORING; INTELLIGENT MOBILE PHONE; STEP DETECTION; WEARABLE POSITION VALIDATION;

ADAPTIVE ALGORITHMS; BUBBLES (IN FLUIDS); CALIBRATION; MOBILE PHONES; MOBILE TELECOMMUNICATION SYSTEMS; SIGNAL DETECTION; SIGNAL PROCESSING; TELECOMMUNICATION EQUIPMENT; TELEPHONE; VIDEO RECORDING;

TELEPHONE SETS;

EID: 77956282643     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1839294.1839306     Document Type: Conference Paper

References (20)

1. Warburton D.E., Nicol C.W. and Bredin S.S. 2006 Health Benefits of Physical Activity: The Evidence, CMAJ, March 14 2006, 174 (6), pp 801-809.
2. Haskell W.L., Lee I.M., Pate R.R., Powell K.E., Blair S.N., Franklin B.A., Macera C.A., Heath G.W., Thompson P.D., Bauman A. 2007 Physical Activity and Public Health: Updated Recommendation for Adults from the American College of Sports Medicine and the American Heart Association. Med Sci Sports Exerc. 2007 Aug;39(8):1423-1434
3. Tudor-Locke C. and Bassett D.R. Jr. 2004 How Many Steps/Day Are Enough? Preliminary Pedometer Indices for Public Health, Sports Medicine, Volume 34, Issue 1, 2004, pp 1-8.
4. Bravata D.M., Smith-Spangler C., Sundaram V., Gienger A.L., Lin N., Lewis R., Stave C.D., Olkin I., Sirard J.R. 2007 Using Pedometers to Increase Physical Activity and Improve Health: a Systematic Review. JAMA. 2007 Nov 21;298(19):2296-2304
5. Tudor-Locke C. and Lutes L.2009 Why Do Pedometers Work?: A Reflection upon the Factors Related to Successfully Increasing Physical Activity, Sports Medicine, Volume 39, Issie 12, December 2009 , pp 981-993.
6. Godfrey A., Culhane K.M. and Lyons G.M. 2007 Comparison of the Performance of the activPAL™ Professional Physical Activity Logger to a Discrete Accelerometer-based Activity Monitor, Medical Engineering & Physics, Volume 29, Issue 8, October 2007, pp 930-934.
7. Grant P.M., Ryan C.G., Tigbe W.W. and Granat M.H. 2006 The Validation of a Novel Activity Monitor in the Measurement of Posture and Motion during Everyday Activities, British Journal of Sports Medicine, Volume 40, Issue 12, December 2006, pp 992-997.
8. Tsavourelou A., Rowe P., Babatsikou F. and Koutis C. 2009 Validation of the activPAL in the Health Promotion Context, Health Science Journal, Volume 3, Issue 2, 2009, pp 105-114.
9. Ryan C.G., Grant P.M., Tigbe W.W. and Granat M.H. 2006 The Validity and Reliability of a Novel Activity Monitor as a Measure of Walking, British Journal of Sports Medicine, Volume 40, Issue 9, 2006, pp 779-784.
10. Burns W., Nugent C.D., McCullagh P.J., Zheng H., Black N.D., Wright P. and Mountain G.A.2009 Home Based Self-Management of Chronic Diseases, ICOST 2009, pp229-232.
11. Davies R.J., Nugent C.D., Donnelly M.P., Hettinga M., Meiland F.J., Moelaert F., Mulvenna M.D., Bengtsson J.E., Craig D. and Dröes R.M. 2009 A User Driven Approach to Develop a Cognitive Prosthetic to Address the Unmet Needs of People with Mild Dementia, Pervasive and Mobile Computing, Volume 5, Issue 3, June 2009, pp 253-267.
12. Zheng H., Nugent C.D., McCullagh P.J., Burns W.P., Alexander S., Huang Y., Zhang S., Black N.D., Vowles K.E., Mawson S.J., Eccleston C., Wright P. and Mountain G.A. 2009 Integration of Assistive Technology to Support Self Management, Proceedings of the IET conference on Assisted Living, 2009, pp 14-17.
13. Bardram J.E., Mihailidis A., Wan D. 2006 Pervasive Computing in Healthcare, 1st edition, CRC Press.
14. Huang Y., Zheng H., Nugent C.D., McCullagh P.J., Black N.D., Vowles K. and McCracken L. 2009 Classification of Health Level from Chronic Pain Self Reporting, IADIS-eHealth 2009, pp43-50.
15. Ying H., Silex C., Schnitzer A., Leonhardt S. and Schiek M. 2007 Automatic Step Detection in the Accelerometer Signal, 4th International Workshop on Wearable and Implantable Body Sensor Networks, 2007, pp 80-85.
16. Libby R. 2008 A Simple Method for Reliable Footstep Detection in Embedded Sensor Platforms, http://ubicomp.cs.washington.edu/uwar/libby-peak-detection. pdf, Accessed December 2009.
17. Mladenov M. and Mock M. 2009 A Step Counter Service for Java-enabled Devices Using a Built-in Accelerometer, Proceedings of the 1st International Workshop on Context-Aware Middleware and Services, 2009.
18. Boyd J. and Sundaram H. 2009 A Framework to Detect and Classify Activity Transitions in Low-power Applications, Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, USA.
19. Han J. and Kamper M. 2006 Data Mining: Concepts and Techniques, 2nd edition, Morgan Kaufmann.
20. Witten I.H. and Frank E., 2005 Data Mining - Practical Machine Learning Tools and Techniques, 2nd Edition, Morgan Kaufmann.