Using Sensor Technology to Track Performance in Para XC Skiing: Time

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Using sensor technology to track performance in Para XC skiing: time well spent or time wasted? Physically impaired sitting Para XC skiing Class Classic LW10 86 Varying race courses LW10.5 89 • Terrain LW11 93 LW11.5 95 • Speed LW12 100 • Condition Physically impaired standing Class Classic LW2 92 LW3 86 LW4 96 LW5/7 79 LW6 90 LW8 92 LW9 88 Visually impaired standing Class Classic B1 88 B2 99 B3 100 2 *World Para Nordic Skiing Championship, Prince George 2019 Difference between 1. and 2. place Pyoengchang Sochi Vancouver % Men % Women Able-bodied Para sitting Para standing Para visually impaired Overview of todays presentation • Value of outdoor lab testing • Sensor technology used • Two examples from Para XC skiing • Reflections – coach Norwegian Para XC skiing team • Outlook in the future 4 Establishment of a scientific foundation Research setting Data quality Data Advanced – motion capture & physiology “Real life” Motion capture Training/ competition setting & physiology Precision Precision Relevance - Functionality 5 Sensors ✓ 53 gram ✓ GPS: 10 Hz frequency ✓ IMU: 100 Hz frequency GPS + IMU + HR 6 1.step 2.step 3.step Determine difference Determine cause of Implementation to in performance/time differences coaches and athletes How much time does Why does Ola loose time? Get Ola to understand! Ola loose? 7 @Jan Kocbach Example 1 Comparison standing Para vs able-bodied XC skiers 8 Example 1 has been removed because of possible publication Example 2 Para XC sit skiing 10 Results Low intensity High intensity 40 30 (m) 20 Altitude 10 0 ) 1 80 - 10 ) 1 - 60 406 Speed Speed (m·s Cycle Cycle rate 202 (cyles·min 0 10 6 (m) Cycle Cycle length 2 11 QuickQuick athlete athlete feedback feedback 12 @Harri Luchsinger & Olympiatoppen Quick athlete feedback - visualization Blue faster Red faster @Jan Kocbach Reflections – Coach Para XC skiing • Use of sensor technology very valuable during training and competitions • Works best when feedback happens the same day • Simplicity is sophistication • Animations instead of graphs 14 Outlook in the future 15 Team Jan Kocbach Julia Baumgart Cecilia Severin Camilla Carlsen Algorithm & Project coord. Researcher PhD candidate software guy Para SenTIF Para Para XC skiing Gertjan Ettema Øyvind Sandbakk Roy Mulder Pål Haugnes Professor & Professor & Staff Engineer PhD candidate Manager SenTIF Manager SenTIF XC skiing 16 Work in progress… NTNU Senter for Toppidrettsforsking @toppidrettsforskning www.ntnu.no/toppidrettsforskning 17.

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