Identification of Time-Varying and Time-Scalable Synergies From Continuous Electromyographic Patterns, IEEE Robotics and Automation Letters, (2019), Felipe M. Ramos, Andrea d’Avella, Mitsuhiro Hayashibe, (accepted both for RAL journal and IROS2019 Macau)
Existing Time-Varying synergy may detect different speed motions as different synergy combination as time component is different between slow and fast movement. However, in neuroscience perspective, it should come from common synergy just with different speed control. The proposed method allows to make new analysis for auto-identify the common synergy over different speed motions during the synergy extraction.