Cross-Country Skiing Performance Analysis
Accurately track the athlete's movement during all his trainings
The small GNSS-IMU sensor, weighting only 36 grams, is worn on the upper back during the entire training. Because of the small size and low weight the athlete is not aware of being tracked. At the end of the training, the data is uploaded from each sensor to our servers. On our web interface the training is geolocalized and individual laps are automatically extracted and analyzed. After a few minutes, all data from all athletes is available for analysis.
Performance Analysis Options
- Speed overlay on videos
- Speed comparisons
- Continuous split times
- Section time analysis
- Distance covered per cycle
- Technique detection
For easy interpretation of the performance data, for example for technique training, the synchronization unit allows to synchronize videos automatically with the data. Speed overlays on the video can thus be created automatically and help to browse through the data and understand better the performance of the athlete.
Dedicated algorithms allow to obtain accurate continuous split times. Time differences between athletes and laps can be easily tracked over time with waterfall plots. Color-coded maps display the speed difference between any two laps, from the same or from two different athletes. Within seconds, each athlete's strenghts and weaknesses can be identified and progress tracked over time. Everything is web-based and no special programs are needed. Thanks to our special algorithms all the analysis is fully automatic and almost no user interaction is required!
Waterfall plot of the continuous split times for 7 laps with the track's elevation profile in light grey. The frist lap (black) is the reference lap. Negative times mean faster skiing compared to the reference lap.
Race strategy analysis with the speed and sub-technique comparison plot. Identify in one glance which sub-technique is the fastest where. The color-coded elevation profile shows the relative speed differences between the two selected laps. Sub-technique is automatically detected.
Using motion constraints our system precisely detects the beginning of each cross-country skiing cycle for both the skating and classic style. Combining that data with the center of mass kinematics obtained from our specialized fusion algorithm the system can then compute cycle duration, cycle speed, and cycle length.
Biomechanical models and motion constraints allow us to automatically classify the sub-technique used for every single cycle. Whether it is classical cross-country skiing or skating, our algorithm is smart enough to know what you were skiing and will classify your cycles right. The skating sub-technique classification has been validated and showed an accuracy of over 98%. Read here the details.
And don't forget, everything is based on a single miniature sensor worn on the upper trunk. A truly unique system that nobody else can offer at this accuracy and precision!
You want to improve your training? Order now!