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

This study aimed at exploring a relation between the mood state and physical activity (PA) among the Zang and Han university students during the COVID-19. 2382 university students in Shaanxi, Tibet, Hubei and Guizhou were recruited using a convenient sampling method to participate in this study. Independent samples t-test and ANOVA were used to compare the differences of the mood state of the college students by gender, grade, and ethnicity respectively. Pearson correlation and stepwise linear regression were conducted to examine the indicators’ relations. The results indicated that there was statistical significance in the mood state among the ethnicity, gender, and grade (p < 0.05). The total emotional score tended to increase as the grade increased; There are statistical significance in PA between gender, and grade (p < 0.05), while PA declining as the grade increased. However, there was no statistically significant relationship between grade and positive affect (p > 0.05). There are statistically significances between all other indicators (p < 0.05). The study shows that COVID-19 suppressed mood state and participation in PA among Tibetan-Han college students. PA is better for increasing mood state of the university students, which is better for positive emotion, but bad for negative emotion as the grade rises.

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