title: Correlating multimodal physical sensor information with biological analysis in ultra endurance cycling.
abstract: The sporting domain has traditionally been used as a testing ground for new technologies which subsequently make their way into the public domain. This includes sensors. In this article a range of physical and biological sensors deployed in a 64 hour ultra-endurance non-stop cycling race are described. A novel algorithm to estimate the energy expenditure while cycling and resting during the event are outlined. Initial analysis in this noisy domain of "sensors in the field" are very encouraging and represent a first with respect to cycling.
authors.affiliation: Centre for Sensor Web Technologies Dublin City University, Glasnevin, Dublin 9, Ireland. gregory.c.may@gmail.com
authors.forename: Gregory C
authors.initials: GC
authors.lastname: May
authors.forename: Aiden R
authors.initials: AR
authors.lastname: Doherty
authors.forename: Alan F
authors.initials: AF
authors.lastname: Smeaton
authors.forename: Giles D
authors.initials: GD
authors.lastname: Warrington
mesh_terms: D000465:Algorithms; D056352:Athletes; D001642:Bicycling / Q000502:physiology*; D015374:Biosensing Techniques / Q000379:methods*; D001772:Blood Cell Count / Q000379:methods; D004734:Energy Metabolism / Q000502:physiology; D006801:Humans; D010807:Physical Endurance / Q000502:physiology*; D015203:Reproducibility of Results; D013223:Statistics as Topic