Abstract
This study investigates the usefulness of a 10 Hz GPS device for tracking scalar performance in canoe slalom through assessing the validity of automated-informed-aerial video tracking (30 fps and 10 fps) and GPS capability in relation to a known track. Additionally, a real-world (canoe-slalom). A comparison between manual-aerial video tracking (10 fps) and the 10 Hz GPS was performed. All three methods of tracking used during the dry-land test (30 fps or 10 fps video and GPS) reported significantly lower distances (−3.2, −5.1 and −8.5%, p < 0.0001) but were deemed useful based on sample rate and body positioning difference. Intra-method reliability was good (CV = 2.5−2.6%) but requires visual inspection for dataset errors. Informed-colour filtered automated tracking on-water was not possible, but manual tracking provided fewer dataset errors than dry-land automated tracking. GPS significantly (p < 0.0001) under reports distance travelled at key moments during real-world slalom with a bias ± SD of 2.26 ± 2.07 m compared to 10 fps manual-aerial video tracking. The aerial video combined with manual tracking proved most suitable for tracking canoe slalom athlete trajectory in a real-world setting but needs to be automated into an application-based package to make it useable for coaches. GPS, as presented, provides insight but does not accurately quantify movements critical in determining the performance of canoe slalom.
Highlights
Competitive canoe slalom performance relies on the athlete’s ability to negotiate a set course as quickly as possible
As such, understanding technique(s) in relation to athlete speed(s), distance travelled, work rate and trajectory are essential for optimal performance
Current coach practice revolves around timing [4] and video analysis of racecourse sections, in order to provide subjective opinions [5]
Summary
Competitive canoe slalom performance relies on the athlete’s ability to negotiate a set course as quickly as possible. As such, understanding technique(s) in relation to athlete speed(s), distance travelled, work rate and trajectory are essential for optimal performance. Limitations on using time to evaluate performance alone have been documented in slalom skiing [7,8] where sectional course data is limited by initial velocity, position and orientation, and varies between competitors by significant (10%) amounts [9]. This is likely the case in canoe slalom and could bias coach opinion, and feedback to athletes
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