HIGHLIGHTS
- who: - Automated stroke rehabilitation and colleagues from the (UNIVERSITY) have published the paper: AI-driven Stroke Rehabilitation Systems and Assessment: A Systematic Review, in the Journal: (JOURNAL)
- what: The investigation shows that deep learning with spatio-temporal skeleton data and dynamic attention outperforms others with an RMSE as low as 0.55. One of the primary reasons for this is that it needs a significant amount of physicians. The research attempts to provide a comprehensive picture of rehabilitation systems by examining works on robot-assisted, virtual reality-based rehabilitation and automated assessments through data-driven . . .
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