Abstract
In a world where the data is a central piece, we provide a novel technique to design training plans for road cyclists. This study exposes an in-depth review of a virtual coach based on state-of-the-art artificial intelligence techniques to schedule road cycling training sessions. Together with a dozen of road cycling participants’ training data, we were able to create and verify an e-coach dedicated to any level of road cyclists. The system can provide near-human coaching advice on the training of cycling athletes based on their past capabilities. In this case study, we extend the tests of our empirical research project and analyze the results provided by experts. Results of the conducted experiments show that the computational intelligence of our system can compete with human coaches at training planification. In this case study, we evaluate the system we previously developed and provide new insights and paths of amelioration for systems based on artificial intelligence for athletes. We observe that our system performs equal or better than the control training plans in 14 and 24 week training periods where it was evaluated as better in 4 of our 5 test components. We also report a higher statistical difference in the results of the experts’ evaluations between the control and virtual coach training plan (24 weeks; training load: X2 = 4.751; resting time quantity: X2 = 3.040; resting time distance: X2 = 2.550; efficiency: X2 = 2.142).
Highlights
Performance is tracked and optimized everywhere at any time
We first present the results in terms of suitability of the proposed training plans for each training period
The difference was higher in the six week training period, where 60% of the participants selected control planning
Summary
Performance is tracked and optimized everywhere at any time. Companies try to maximize their benefits by increasing their performance in multiple levels [1]. The common aspect between these two fields is that one can track the performance and get an idea of it through quantitative information. This makes it easy to access microquantitative and visual feedback of our performance but does not necessarily explain the meaning in a macro perspective. Amateurs as well as professionals in the sports field are relying on wearable devices as a motivational object, but more importantly to perform better [2]
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