2015
sEMG-based decoding of detailed human intentions from finger-level hand motions
IROS 2015poster
In this paper, a novel sEMG decoder was proposed for estimating the detailed human intentions. For the use in practical applications, an sEMG decoder needs to have a high decoding performance, a robustness to the changes of electrode positions, and a capability to extract detailed and continuous int…