Xsens is always looking for new ways to capture and digitize reality in precise and accurate detail working together with our partners. And we’re happy to announce a new collaboration between Team DSM and FitLift.
FitLift is a strength training application that's built up with the Xsens DOT platform, with powerful algorithms that enable a professional cycling team - Team DSM, to provide real-time feedback on lifting technique and movement velocity in their strength training sessions. It gives them the tools they need to get the exact adaptations and improvements out of each session, while also reducing the risk of injuries. Also, the post-analysis of these metrics will support the Team DSM experts and trainers group to further optimize the overall training periodization of their riders and supplement long-term planning.
The partnership starts in the first quarter of 2021 and the Fitlift product will eventually be used by almost sixty cyclists for the purposes of weight training.
‘’The collaboration with Xsens DOT and FitLift enables us to track our athletes on technical execution and movement velocity during their strength training sessions. This new data and information ensure that each rider achieves the targeted adaptations out of the strength sessions, and allows us to optimize the balance between strength training and cycling towards our performance goals, giving us another competitive advantage.” - Nelis Koeken, Biomechanics & Strength Training Expert, Team DSM.
The new partnership will help to create products that deliver better health through nutrition outcomes, as well as safer and more sustainable materials, which will ultimately translate into benefits for society at large. Team DSM will gain direct insights and feedback from some of the most demanding customers in the world – pro athletes – in order to better develop sustainable solutions that can help others remain strong, healthy and performing safely for longer.
About Team DSM
About FitLift
Want to know more about Xsens DOT?
Visit our Xsens DOT page to learn more about wearable sensor applications.