In fitness and sport, data analysis is quickly becoming a must-have after several years of experimentation in the world of professional sport.
The revolution does not stop at gym training: we are no longer limiting our well-being to the 4 walls of the gym, but we are bringing it more and more to every aspect of our lives. How many times, for example, have you walked those extra steps to reach the 10,000 steps goal prescribed by your fitness tracker or smart watch? Even better, how often have you prolonged your training just that extra bit to achieve your daily calorie goal?
It seems that the future will be driven by data analysis, to turn raw information into concrete benefits for our well-being. Let's see what awaits us in the coming years.
Data driven fitness: data analysis to create your own wellness
This happens to everyone and it is absolutely normal, because our body and mind vary according to many different parameters which are not always easy to grasp.
That's why the future of all our activities is linked to data collection and data analysis. We already do this on many occasions: for example, when we measure our height, the circumference of our chest, our body temperature, our blood pressure and whatever our smart devices allow us to track.
Therefore, training on a scientific basis means using the data to get the best workout schedule, abandoning progressively the misleading perceptions we feel in our body. To this end “machine learning” and artificial intelligence, which will join the intuition and experience of coaches to promote the understanding of complex and articulated phenomena, will be extremely helpful in combining the dots through data analysis, giving us a clearer image of the route to our wellbeing.
From data analysis to training customisation
What is it that can really motivate us? What scares us and what exalts us? What are our strengths and weaknesses? How does all this intertwine with our daily lives, with our work and with everything that can interfere with them? We can find answers to all these questions in data analysis; data that will come from our clinical examinations as well as from our connected devices (smartphones, TVs, smart speakers, but in the future also many other objects that surround us, such as refrigerators, kitchen and cleaning robots).