Human Activity Recognition Using Hybrid Coronavirus Disease Optimization Algorithm for Internet of Medical Things.

The results proved that the proposed approach outperforms state-of-the-art HAR techniques, achieving an average performance of 97.82% in accuracy and a reduction ratio in feature selection of 52.7%.