International Journal of e-Collaboration (IJeC)

In researching cognitive or motor learning aspects of activity control, imagery (MI) is a widely used model. Research has shown that training can aid in memorizing functions because the functional associations it shares with physical movement. Because high level contact these sports, players are more likely to sustain finger injuries. As group machine techniques, web services designed solve AI-related challenges. they modular, be easily integrated into any program, making AI accessible everyone. Some performers return play early defensive splinting, taping, and casting depending on damage position played. Other injuries, predominantly necessitating full use their hand for position, require extended rehabilitation period lengthy time away from field. Therefore, this paper proposes imagery-based system (MIFRS) sports injury rehabilitation.