BACHELOR Assignment
EatMyRide: Predicting intensity level of sport activity for personalized nutrition plan
Type: Bachelor EE/CS
Finished: 31/01/2021
Student: Govers, R.R.
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Description:
EatMyRide is an app for endurance athletes that collects sports history data of users in order to provide them with personalized nutrition planning before, during and after sport activities.
With a focus on cycling rides, the sport activity data of users is analyzed: the intensity level during the rides is influenced by different factors, such as elevation, wind direction, speed etc. Based on the history activity data, the intensity of future sports activities of the athlete is predicted, to estimate how much energy will be needed to accomplish the activity. Using this information a nutrition plan can be provided to the athlete during training.
Assignment:
For some users there might not be suitable or sufficient sport history data to provide reliable estimation of intensity level of planned rides. In order to improve the reliability of prediction for these users, in this project it has to be investigated how the intensity levels of sports activities differ among different people, and train models that can predict how intense an activity will be, based on personal characteristics (like gender, weight, desired cycling speed) and history sports data of other athletes.
The assignment is to investigate the relationship between the intensity level of cycling rides, and personal- and activity-specific factors (e.g. how is intensity during climbs dependent from gender and weight and which role does the slope play in this?). Based on the obtained insights, a prediction model should be trained that can estimate the intensity level of future activities for each athlete, even if no past sports data for that athlete is available.