Rapporto di progetto (Project report), 2018, ENG

Intelligent approaches to fitness and well-being guidance

Martinelli M.; Carboni A.; Magrini M.; Benassi A.; Salvetti O.

CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy

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.

Keywords

Decision Support System, Machine Learning, Fitness, Well-Being, Guidance

CNR authors

Benassi Antonio, Martinelli Massimo, Magrini Massimo, Carboni Andrea, Salvetti Ovidio

CNR institutes

ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"

ID: 383766

Year: 2018

Type: Rapporto di progetto (Project report)

Creation: 2018-02-08 15:34:10.000

Last update: 2023-03-18 12:03:52.000

External links

OAI-PMH: Dublin Core

OAI-PMH: Mods

OAI-PMH: RDF

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:383766