Use of AI Technology Training on Motor Parameters: Systematic review
Volume 15, Issue 1 (2025)
Volume 15, Issue 1 (2025)
Use of AI Technology Training on Motor Parameters: Systematic review
Abstract:
The aim of this systematic review was to examine the use of AI training technology on motor performance.
The research was conducted according to the PRISMA guidelines, using the PICOS framework for study selection, and
the search included relevant databases such as PubMed, Web of Science, Scopus, MEDLINE, ERIC and Google Scholar.
The final analysis included 16 studies that met strict methodological relevance criteria, and quality was assessed using the
PEDro scale. Analysis of the included studies indicates that the most effective programs lasted between 5 and 8 weeks, with
a frequency of at least three training sessions per week, while more significant effects were observed with interventions
that included personalized feedback and adaptive algorithms. AI systems have shown the potential to improve strength,
flexibility, coordination and other motor parameters, providing precise, individualized feedback. Although the results are
promising, the variable methodological quality and heterogeneity of the technologies used indicate the need for further
research in real-world sports conditions.
Keywords:
Artificial intelligence, Physical training, Motor fitness, Exercise, Digital coaching, Robotics.
Full Text:
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