A SEMG-angle model based on HMM for human robot interaction.

CONCLUSIONS: SEMG signals have some characteristic properties which is similar to a quasi-stationary filtered white noise stochastic process, the structure of HMMs makes it ideally suited for classification and modeling SEMG signals, and the results of this study show that it can achieve a better performance than the commonly used methods (BP and RBF).
PMID: 31045555 [PubMed - as supplied by publisher]

Source: Technology and Health Care - April 29, 2019 Category: Medical Devices Authors: Chen Y, Liang L, Wu M, Dong Q Tags: Technol Health Care Source Type: research