Kegler Brown Hill & Ritter
Human-machine interface based on task-specific temporal postural synergies
A synergy-based human-machine interface that uses low-dimensional command signals to control a high dimensional virtual, robotic or paralyzed human hand is provided. Temporal postural synergies are extracted from angular velocities of finger joints of five healthy subjects when they perform hand movements that are similar to activities of daily living. Extracted Synergies are used in real-time brain control, where a virtual, robotic or paralyzed human hand is controlled to manipulate virtual or real world objects.
UNIVERSITY OF PITTSBURGH-OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION
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Zhi-Hong Douglas John Ramana Kumar Wei
Mao Weber Vinjamuri Wang