Search Results - Selbie, S.
- Showing 1 - 7 results of 7
-
1
Assessment of kinematic cmj data using a deep learning algorithm-based markerless motion capture system
Strutzenberger, G., Kanko, R., Selbie, S., Schwameder, H., Deluzio, K.Published in ISBS Proceedings Archive (Michigan) (2021)congress proceedings“…Selbie, S.…”
-
2
Concurrent assessment of gait kinematics using marker-based and markerless motion capture
Kanko, R. M., Laende, E. K., Davis, E. M., Selbie, W. S., Deluzio, K. J.Published in Journal of Biomechanics (2021)article“…Selbie, W. S.…”
-
3
Assessment of kinematic cmj data using a deep learning algorithm-based markerless motion capture system
Strutzenberger, G., Kanko, R., Selbie, S., Deluzio, K.Published in ISBS Proceedings Archive (Michigan) (2020)congress proceedings“…Selbie, S.…”
-
4
Effects of knee flexion angle manipulation on impact loading and metabolic costs during running
Clansey, A., Hassan, E., Selbie, S., Brown, M., Shew, J., Deluzio, K.Published in International Calgary Running Symposium, August 14-17, 2014 (2014)congress proceedings“…Selbie, S.…”
-
5
The X-Factor: An evaluation of common methods used to analyse major inter-segment kinematics during the golf swing
Brown, S. J., Selbie, W. S., Wallace, E. S.Published in Journal of Sports Sciences (2013)article“…Selbie, W. S.…”
-
6
-
7
In vivo lumbo-sacral forces and moments during constant speed running at different stride lengths
Seay, J., Selbie, W. S., Hamill, J.Published in Journal of Sports Sciences (2008)article“…Selbie, W. S.…”