Sport applications

The solutions that can be envisaged from the technological platform cover a wide range, however TracEdge has chosen to focus on the sports applications. With the TSP20B tool, there is no longer the need for ground infrastructure in order to guarantee reliable, precise and sufficient data: the athlete wears a lightweight unit as well as a GPS antenna. The TSP software reconstructs the trajectory that has been followed in reality and proposes different analysis modes in 2D and 3D. Associated to this trajectory, we use the curvilinear abscise in order to precisely compute the distances and the average speeds. Functions such as the “virtual cells” (marking of important 3D locations: start points, slalom gates, turns, arrival lines, etc.) and the “automatic highlighting of trajectories on the circuit” enrich the software toolkit. These types of information, difficult or even impossible to obtain with other technologies, are very important in order to obtain a precise performance analysis. On this foundation, TracEdge proposes the following services:

• Data collection on the field,
• Design and implementation of experimentation planning,
• Analysis and comparison of trajectories with mathematical and statistical tools.

In conclusion, TracEdge can pinpoint performance differences in the order of one percent. The performance stakeholders can therefore take their decisions based on reliable elements, quickly and objectively.

The parameters which influence sporting performance are numerous and their respective weighting is difficult to quantify. The two key stages of the experiment are planning and data analysis:

• planning correctly carried out generally leads to the use of analysis techniques on the relatively simple data (analyzes variance, linear regression etc...)
• absence of planning often requires more complex mathematical tools and statistics be used which cannot always guarantee results.

Experimental design requires that cause and effect (factors) between parameters can be established by the experimenter, which are supposed to influence the behavior of the phenomenon and others, (answers) which characterize the result of the phenomenon. Experimental design consists of imposing particular variations on the factors (entries), measuring the induced variations of the answers and deducing from them the relations between factors and answers. We conceive and carry out experimental designs to structure the data-gathering and to highlight the factors to be studied while limiting the factors that can ruin the analysis. This scientific step guarantees the integrity of the data collected while reducing to the minimum essential time spent on the ground.