2 41 MACHINE LEARNING ENABLED PERSONALIZED PHYSICAL ACTIVITY COACHING 4.3. The Web Application The Web application is a demonstration of how the aforementioned machine learning techniques could be used in practice, from the perspective of both the coach and the participant. The application allows the user to determine whether a participant will achieve his or her goal for the day, during the day, by applying the individualized algorithms. The procedure for predicting this goal is as follows. First, the user selects a participant identifier from the dropdown menu. After this selection had been made, the application selects the best and personalized machine learning algorithm for this specific participant. Then the user can fill out a form, providing the necessary details to base the prediction on (hour of day, the number of steps so far, and the number of steps in the past hour). Finally, when the user submits the form, the application returns advice personalized for the individual selected from the dropdown menu. The demo application is available at http://personalized-coaching.compsy.nl/. Figure 6 provides a screenshot of both the input fields of the application and the generated prediction and advice. Figure 6. Screenshot of the Personalized Coach Web Application.
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