TY - JOUR
T1 - A Model for Comparing Over-Ground Running Speed and Accelerometer Derived Step Rate in Elite Level Athletes
AU - Neville, Jonathon G.
AU - Rowlands, David
AU - Lee, James Bruce
AU - James, Daniel
PY - 2016
Y1 - 2016
N2 - This paper presents accelerometers as a viable alternative or add-on in the quest for improved athlete assessment techniques. In elite level team sports, global positioning systems (GPSs) are an important tool for workload management. These devices, however, have limitations particularly when it comes to high speeds or indoor environments. Tri-axial accelerometer data were synchronously collected with GPS data from senior elite level Australian Football League athletes. For each athlete (n=44), the accelerometer data were filtered and the step frequency was extracted for periods of constant GPS running speed (>8 km/h). A quadratic fit was observed and applied to each athlete, modeling their step frequency to running speed (mean r^2 =0.8554 ± 0.064). The resulting model showed increased accuracy at higher speeds (speeds above 15 km/h <;10% error and speeds above 20 km/h <;5% error).
AB - This paper presents accelerometers as a viable alternative or add-on in the quest for improved athlete assessment techniques. In elite level team sports, global positioning systems (GPSs) are an important tool for workload management. These devices, however, have limitations particularly when it comes to high speeds or indoor environments. Tri-axial accelerometer data were synchronously collected with GPS data from senior elite level Australian Football League athletes. For each athlete (n=44), the accelerometer data were filtered and the step frequency was extracted for periods of constant GPS running speed (>8 km/h). A quadratic fit was observed and applied to each athlete, modeling their step frequency to running speed (mean r^2 =0.8554 ± 0.064). The resulting model showed increased accuracy at higher speeds (speeds above 15 km/h <;10% error and speeds above 20 km/h <;5% error).
KW - Accelerometers
KW - Global positioning system
KW - Human resource management
KW - Sports, Accelerometer data
KW - Assessment technique
KW - Indoor environment
KW - Quadratic fit
KW - running
KW - Step frequency
KW - Triaxial accelerometer
KW - Workload management, Speed
UR - http://www.scopus.com/inward/record.url?scp=84961885134&partnerID=8YFLogxK
U2 - 10.1109/JSEN.2015.2477497
DO - 10.1109/JSEN.2015.2477497
M3 - Article
SN - 1530-437X
VL - 16
SP - 185
EP - 191
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
IS - 1
ER -