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

Home , B1 (classification), B3 (classification), LW10, LW11, LW4 (classification)

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 Women Men % % Able - bodied Pyoengchang Difference between 1.and 2. place Para sitting Sochi Para standing Para Vancouver 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