Fitness development and performance assessment of elite athletes requires an understanding of many physiological factors, many of these are direct and indirect measures of athlete energy expenditure. Many methods are physiological factor assessments and require the athlete to be constrained by laboratory equipment or periodic interruption of activity to take measurements such as blood samples are required to be taken. This paper presents a method that is entirely ambulatory and noninvasive, using microelectromechanical systems (MEMS) accelerometers. The commonly used output of commercial accelerometer-based devices (known as "counts") cannot discriminate activity intensity for the activities of interest. This, in conjunction with variability in output from different systems and lack of commonality across manufacturers, limits the usefulness of commercial devices. This paper identifies anthropometric and kinematic sources of inter-athlete variability in accelerometer output, leading to an alternate energy expenditure estimator based mainly on step frequency modified by anthropometric measures. This energy expenditure estimator is more robust and not influenced by many sources of variability that affect the currently used estimator. In this system, low-power signal processing was implemented to extract both the energy estimator and other information of physiological and statistical interest.
The biomechanical evaluation of elite athletes often requires the use of sophisticated laboratory-based equipment that is restrictive, cumbersome, and often unsuitable for use in a training and competition environment. Small, low-mass unobtrusive centre-of-mass triaxial accelerometers can be used to collect data but may not reveal all the information of interest. This validation of centre-of-mass triaxial accelerometry uses previously reported synchronously collected foot-contact information from in-shoe pressure sensors. A qualitative assessment of the system output indicates that the centre-of-mass acceleration provides valuable insight into the use of accelerometers for investigating the biomechanics of, in this case, middle distance runners.
Play based sports monitoring techniques provide coaches and players with the tools to better measure the effects of training or live performance. This paper explores the advantages of using accelerometers units, in an effort to better analyse over ground running in professional athletes. A large portion of studies in player monitoring in the Australian Football League (AFL) utilize GPS to obtain time and distance measurements.Previous studies have shown that the speed and energy expenditure of an athlete while running on a treadmill can be obtained through the use of body mounted accelerometers. This research extends these concepts by applying them to overground running data from professional players.A study was conducted using professional AFL players and GPS and accelerometer sensors. The data obtained was filtered and the stride frequency was obtained for stepwise bands of constant running speed between 4km/h and 24km/h. Stride frequency was compared to speed obtained from the GPS. A linear relationship between stride frequency and speed was identified and agreed with the literature. This indicates that a player's speed can be approximately derived from their stride frequency, and thus, more efficient and cost effective accelerometer can be used in lieu of GPS units.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.