When was the last time you watched athletes compete head-to-head and wondered who has the most energy left? This challenge examines ways to visualize this issue.
VORN is a Swiss high-tech company that developed a state-of-the-art wearable. This challenge aims to calculate an athlete’s energy level during a race by using data from this wearable. As a proof of concept, we will analyzed the data of cross-country skiers during the Hackdays.
VORN has created a wearable device that can measure a range of physical and mental metrics during sports events.
Our solution is based mainly on heart rate variability, whereby exhaustion leads to a more regular heartbeat and relaxation to a slower but irregular one. We subsequently defined thresholds based on how much an athlete uses his or her energy and ranked them with points ranging from 0 (recovery) to 3 (strong exertion). Every point reduces the battery’s stored energy. Athletes often can choose easier options during an event, so we added a “Charge” variable to the battery of our model that combines factors like gradient, speed and distance.
Potential next steps
- Calculate the “discharge/charge” aspect of the battery more precisely
- Smooth the data in real-time
- Apply a machine learning model to calculate the maximum and minimum battery level for each athlete
- Visualize the battery level on a TV screen during the competition
VORN provides data from previous roller-ski and cross-country skiing events. The data is obtained from a range of sensors, such as electrocardiogram, GPS, inertial measurement unit (IMU), gyroscope, magnetometer, quaternions, and barometer.