In the domain of physical rehabilitation, the progress in machine learning and the availability
of cost-effective motion capture technologies have paved the way for innovative systems …

With the number of people surviving a stroke soaring, automated upper limb impairment
assessment has been extensively investigated in the past decades since it lays the …

Physical exercise affects many facets of life, including mental health, social interaction,
physical fitness, and illness prevention, among many others. Therefore, several AI-driven …

Skeleton-based exercise assessment focuses on evaluating the correctness or quality of an
exercise performed by a subject. Skeleton data provide two groups of features (ie, position …

Physical rehabilitation focuses on the improvement of body functions, usually after injury or
surgery. Patients undergoing rehabilitation often need to perform exercises at home without …

Exercise-based rehabilitation programs have been shown to enhance quality of life and
reduce mortality and rehospitalizations. AI-driven virtual rehabilitation programs enable …

The application of machine-learning solutions to movement assessment from skeleton
videos has attracted significant research attention in recent years. This advancement has …

Research evidence shows that physical rehabilitation exercises prescribed by medical
experts can assist in restoring physical function, improving life quality, and promoting …

The clinical rehabilitation assessment methods for hemiplegic upper limb motor function are
often subjective, time-consuming, and non-uniform. This study proposes an automatic …

Exercise-based rehabilitation programs have proven to be effective in enhancing the quality
of life and reducing mortality and rehospitalization rates. AI-driven virtual rehabilitation …