Abstract
Wireless Inertial Measurement Units (WIMUs) are increasingly used to gather data and improve understanding of various human performance and complex motion scenarios. The Bob-Skeleton Push-Start features a stooped sprint from a crouch while pushing a heavy sled. Maximizing velocity during this brief period is considered crucial to performance, however it is poorly understood. An adjustable sled Push-Start training tool was instrumented with custom WIMUs, and a test subject performed 36 runs, with 12 combinations of 3 Incline and 4 Weight settings. A developed algorithm automatically identified, extracted, and integrated Pushing-Phase Acceleration data to Velocity and Displacement at hundreds of samples per second. Drift correction methods improved accuracy; while additional checks rejected problematic datafiles. WIMU derived Average Velocities were within - 0.005±0.074 meters per second (0.319±4.214%) of an existing Light-Gate system. Such an accurate, automatic, WIMU-based system could supplement or replace Light-Gate or other performance monitoring methods, while being more portable and readily usable by coaches or athletes. This would enable consistent, low-cost and high-fidelity, performance monitoring from the gym to the ice-track for improved candidate selection, comparison and training in Bob-Skeleton and other ice-track sled sports.
| Original language | English |
|---|---|
| Pages | 169-174 |
| Number of pages | 6 |
| Publication status | Published - 2014 |
| Event | 8th International Conference on Sensor Technologies and Applications, SENSORCOMM 2014 - Lisbon, Portugal Duration: 16 Nov 2014 → 20 Nov 2014 |
Conference
| Conference | 8th International Conference on Sensor Technologies and Applications, SENSORCOMM 2014 |
|---|---|
| Country/Territory | Portugal |
| City | Lisbon |
| Period | 16/11/14 → 20/11/14 |
Keywords
- Accelerometer
- Bob-skeleton
- Error correction
- Performance monitoring
- Sled
- WIMU
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