Artificial intelligence in training
Various AI-based tools have been used in different areas of human activity for years, especially where efficient data collection, processing and analysis can save time and money, as well as provide valuable information. We can also increasingly encounter such solutions in local fitness clubs.
One example is a simple smartwatch or smartband, which, when combined with a fitness tracker app, can be a valuable source of information about the body’s functioning and fitness. AI algorithms are also used to measure body composition and create the next generation of wearables.
The increasing amount of data, obtained directly from physically active people, is valuable knowledge that can be used in many different ways. Both professionals and people who care about their fitness on a daily basis can take advantage of it.
How do professional athletes use AI?
The world of sports is already leveraging the capabilities of AI. Coaching staff use data to optimise training, both in team and individual sports. AI-based tools can, for example, analyse the movement of players on the pitch to find effective tactics, identify weaknesses and determine the parameters of the player who will work best for a given team composition and match objectives.
At the individual level, it is even more interesting due to the ability to view a variety of biometric parameters of athletes. Even today, AI can create interactive 3D models that map athletes’ bodies in order to generate simulations of specific tasks and training loads. This allows to predict with greater accuracy how a person’s body will respond to specific stimuli, optimise training plans, and minimise the risk of injury.
Importantly, artificial intelligence doesn’t need to be limited to creating “digital twins” of athletes’ bodies. It is capable of mapping specific organs! U.S. long-distance runner Desiree Linden is using a digital model of her own heart created based on CT and MRI data. This provides even more complete insight into the performance parameters and allows for simulating the heart rate under specific types of load, resulting in further optimisation of training.
Can artificial intelligence replace a coach?
Advanced athletes who already have some knowledge of their bodies’ capabilities can use training apps designed for specific sports. Some of them are tools developed with the participation of professional athletes and coaches. They take into account, to a greater extent, the specifics of the sport being practiced as well as offer more data-driven work and customised training plans.
Is the enthusiasm for AI in the world of sports justified? At first glance, it might seem so – after all, artificial intelligence promises concrete, data-driven results. In reality, however, it is not so obvious. Let’s take a look at the advantages and disadvantages of AI to see what its role in training planning may look like in the coming years.
Advantages:
- is close to the body – it collects data in real time and monitors multiple biometric parameters simultaneously;
- works quickly and cheaply – saves time and money spent on research and collecting detailed data;
- is increasingly available – more and more AI-based tools are launched on the market for use in sports;
- offers personalisation – allows to tailor workout loads to the user’s individual needs;
- monitors in real time – allows to track results and progress in real time.
Disadvantages:
- relies on the quality of the algorithm – the quality of AI work is dependent on the sophistication and precision of the algorithm;
- does not have access to all the data – AI does not analyse either the psychophysical state or the level and type of motivation;
- can sometimes be unreliable – you can’t always be sure that the algorithms are operating correctly and providing accurate information;
- it doesn’t motivate you – it lacks the human factor that makes you feel like exercising – AI won’t replace a teammate or a bond with the coach;
- requires expertise – to take full advantage of AI capabilities, you need to be competent enough to understand the meaning of the information it provides.
See also: "Kinesio Taping, or the Benefits of Getting ‘Taped’".
AI, a tool with potential
On a day-to-day basis, artificial intelligence works well where it is able to instantly perform simple, repetitive tasks that involve collecting and processing data at a certain level of generality. However, it will take a long time before intelligent tools “learn” to operate on more complex data sets, taking into account a larger number of factors.
Artificial intelligence is now an interesting and effective tool for people with a certain level of competence, individual trainers and professionals struggling to improve the performance of those under their charge. Nevertheless, human knowledge and skills still outperform artificial intelligence, even though they increasingly leverage its technological potential.
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References:
M. Li, Y. Sun, R. Zaid, A Health-Focused System that Blends Machine Learning and Flutter to Assist Users in Accomplishing their Diet/Fitness Goals Along with Providing Helpful Advice, Journal of Strength and Conditioning Research, 2023
J. Parashar, A. Jain, S. Ali, Artificial Intelligence Impact on Human Fitness: Exploring Emerging Trends, International Journal for Research in Applied Science & Engineering Technology, 2023.
Testy AI:
https://xouted.com/2021/05/inpeak-trainer-jak-sie-trenuje-z-planem-ukladanym-przez-ai/
https://bieganie.pl/trening/plan-treningowy-ulozony-przez-chatgpt-czy-sztuczna-inteligencja-moze-byc-dobrym-trenerem/
Możliwości AI:
https://www.intel.com/content/www/us/en/architecture-and-technology/3d-athlete-tracking.html
https://www.iotworldtoday.com/connectivity/digital-twin-heart-built-for-boston-marathon-champion
https://akademiatriathlonu.pl/sztuczna-inteligencja-pomoze-w-treningu-whoop-zapowiada-rewolucje/