Alpine skiing performance analysis with inertial and GNSS (GPS) sensor, video, and timing - to find the fastest line and optimize technique. For national teams, regional squads, and performance centers.
Our fusion algorithms combine inertial sensor and GNSS (GPS + Galileo + Beidou + QZSS) data to reconstruct 3D position, speed, and orientation, then translate them into simple ski performance indicators such as line length, speed profile, and time loss.
Automatic detection of all runs without the need of any manual marking or additional reference measurement.
Full speed curve, total time, max speed, average speed per run.
Mark or import splits and get section time, entry/exit speed, trajectory length.
Analyze detailed speed changes within turns, where speed is lost or gained. Interactively compare different runs.
Automatically sync your videos with any sensor data (speed changes, speed, trajectory, ...), add split times from your time keeping system (currently supported: Microgate, Lympik).
Compare several runs, see where the fastest run is slower/faster and identify key sections. Understand where speed loss costs the most time.
Experience the power of Archinisis' alpine skiing performance analysis firsthand in a personalized 30-minute online demo. Schedule your one-on-one Zoom call now to see our solution in action and get all your questions answered by our expert team.
Book nowAll the videos are automatically synchronized with the data in seconds!
Interactively analyze your videos with the connected speed loss plot. Rapidly identify key moments of speed gain and loss and visualize the underlying movement. Athletes love how they can easily understand how their movement affects their skiing speed. The best tool to improve skiing technique and become the next champion.
Compare two videos side by side. With synchronous playback, aligned with the skier's position. Each video can be realigned individually, if necessary.
It only takes a few seconds, and you have a detailed ski line trajectory for line comparisons between athletes. Be the first to know which ski line is when the fastest and win the next race. It works with any handheld video camera and works with zoom and pan.
Set split times and obtain section statistics for each split time, such as entry and exit speeds or the total distance skied. This allows you to identify the best strategy and trade-off between a direct line and keeping speed as high as possible.
All the split times are computed based on the skier's trajectory. Which is obtained by fusing the GNSS (satellite) position information with the data from the inertial sensor. Even with this fusion we are restricted to a position accuracy of about 2m (unless we do the video fusion), depending on the satellite constellation and weather conditions on the day of the measurements. Our sensors and algorithms can estimate this expected position accuracy. Our web application then provides the expected time accuracy. In the figure below, this is 0.04 seconds. This means, that if you see a time difference of 0.04 seconds, it could be anything between 0.0 or 0.08 seconds, but statistically speaking the 0.04 second time difference was the most likely.
The section analysis allows a strategic analysis of the skiing. What line choice is the fastest and why? In the example below the fastest time (rank 1) had by far the shortest skiing trajectory length, 49.8m compared to over 52m for all other segments. But neither average speeds nor the entry and exit speeds were the highest. This leads to the conclusion, that for this particular section, it is important to minimize skiing length, even if speeds may be a bit lower. Of course, the next section also needs to be analyzed to see whether the lower exit speed did not penalize the athlete later.
Our race analysis allows comparing the speed of all runs against any run of your choice. For the speed disciplines, this helps you to identify the key segments of speed loss or gain. You will also be able to see that the overall fastest run was not the fastest everywhere.
For the technical disciplines you will be able to see speed differences within a turn. With this you can immediately identify technical weaknesses of a given athlete. For example, one athlete might always lose speed at the beginning of right turns.
Areas with lower speed are marked in purple and areas with faster speed are marked in green. In the figure below, one can see that the selected reference was not the fastest everywhere. Especially for the very last part, all other runs were faster. Whereas in the first half, the athlete seemed very good at the right turns with almost no difference in the left turns.
