Intelligent approaches to fitness and well-being guidance
Martinelli M., Carboni A., Magrini M., Benassi A., Salvetti O.
Decision Support System Machine Learning Fitness Well-Being Guidance
The purpose of this research is to offer a complete picture on the use of assistive technologies in general, artificial intelligence and machine learning methods, for the determination of behaviors and decisions aimed at optimizing the analysis of the physical performance of the athlete. The solutions discussed can be merged to implement a system able to propose, automatically and dynamically, training plans linked to the physical and psychological conditions of the athletes. However, the treatment is also addressed to a possible application to different person categories, such as people performing normal physical activities, the elderly, disabled and ore in general people suffering from psycho-motor and muscular pathologies with the aim of improving skeletal muscle physio aspects.
Source: Project report, 2018
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@techreport{oai:it.cnr:prodotti:383766,
title = {Intelligent approaches to fitness and well-being guidance},
author = {Martinelli M. and Carboni A. and Magrini M. and Benassi A. and Salvetti O.},
institution = {Project report, 2018},
year = {2018}
}
0000-0003-3227-3487