Body area wireless sensor networks for the analysis of cycling performance

Proceedings of the 5th International ICST Conference on Body Area Networks, BodyNets 2010

Volumn , Issue , 2011, Pages 1-7

  Marin Perianu, Raluca ^a   Marin Perianu, Mihai ^b   Rouffet, David ^c   Taylor, Simon ^c   Havinga, Paul ^a   Begg, Rezaul ^c   Palaniswami, Marimuthu ^d  

^a UNIVERSITY OF TWENTE   (Netherlands)

^b Inertia Technology   (Netherlands)

^c VICTORIA UNIVERSITY   (Australia)

^d UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ANKLE ANGLE; CAMERA SYSTEMS; CYCLING PERFORMANCE; ENERGY EXPENDITURE; GOLD STANDARDS; MOTION SENSORS; ON-BODY; OVERUSE INJURY; SENSORS AND TRANSDUCERS; SENSORY INFORMATION;

BIOMECHANICS; NETWORKS (CIRCUITS); SENSOR NODES; SENSORS;

CAMERAS;

EID: 84862654181     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2221924.2221926     Document Type: Conference Paper

References (17)

1. A. Leardini A. Cappozzo, U. Della Croce and L. Chiari. Human movement analysis using stereophotogrammetry. part 1: theoretical background. Gait Posture, 21(2):186-196, July 2005.
2. F. Bouhafs, M. Merabti, and H. Mokhtar. The BikeNet mobile sensing system for cyclist experience mapping. In SenSys, pages 87-101. ACM, 2007.
3. M. J. Caruso. Applications of magnetic sensors for low cost compass systems. IEEE Position Location and Navigation Symposium, pages 177-184, 2000.
4. Cycling with sensors. Demonstration video. http://www.youtube.com/watch? v=NVJXRPt6SvY.
5. Polar equipment. http://www.polar.fi.
6. Visual3D Advanced Biomechanics Research Software for 3D Motion Analysis. http://www.c-motion.com.
7. B. M. Jolles H. Dejnabadi and K. Aminian. A new approach to accurate measurement of uniaxial joint angles based on a combination of accelerometers and gyroscopes. IEEE Transactions on Biomedical Engineering, 52(8):1478-1484, Aug. 2005.
8. F. Diefenthaeler J. B. Dingwell, J. E. Joubert and J. D. Trinity. Changes in muscle activity and kinematics of highly trained cyclists during fatigue. IEEE Transactions on Biomedical Engineering, 55(11):2666-2674, 2008.
9. C. L. Weisshaar H. Ploeg J. L. Sauer, J. J. Potter and D. G. Thelen. Influence of gender, power and hand position on pelvic motion during seated cycling. Medicine and science in sports and exercise, 39(12):2204-2211, July 2007.
10. H. J. Luinge and P. H. Veltink. Measuring orientation of human body segments using miniature gyroscopes and accelerometers. Medical and Biological Engineering and Computing, 43(2):273-282, 2005.
11. S. Collina M. R. Silberman, D. Webner and B. J. Shiple. Road bicycle fit. Clinical Journal of Sport Medicine, 15(4):271-276, July 2005.
12. M. Marin-Perianu, S. Chatterjea, R. S. Marin-Perianu, S. Bosch, S. O. Dulman, S. Kininmonth, and P. J. M. Havinga. Wave monitoring with wireless sensor networks. In ISSNIP, pages 611-616, 2008.
13. J. C. Martin and N. A. T. Brown. Joint-specific power production and fatigue during maximal cycling. Journal of Biomechanics, 42(4):474U-479, March 2009.
14. S. J. Morris. A Shoe-Integrated Sensor System for Wireless Gait Analysis and Real-Time Therapeutic Feedback. PhD thesis, Massachusetts Institute of Technology, 2004.
15. Optotrak Certus Motion Capture System. http://www.ndigital.com.
16. ProMove wireless inertial sensing platform. http://www.inertia- technology.com.
17. R. Zhu and Z. Zhou. A real-time articulated human motion tracking using tri-axis inertial/magnetic sensors package. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 12(2):295-302, June 2004.