EMG-Based Control of a Robot Arm Using Low-Dimensional Embeddings

• Main Authors: Artemiadis, Panagiotis (Contributor), Kyriakopoulos, Kostas J. (Author)
• Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor)
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers / IEEE Robotics and Automation Society, 2011-03-28T18:03:16Z.
• Subjects: Article
• Online Access: Get fulltext

As robots come closer to humans, an efficient human-robot-control interface is an utmost necessity. In this paper, electromyographic (EMG) signals from muscles of the human upper limb are used as the control interface between the user and a robot arm. A mathematical model is trained to decode upper limb motion from EMG recordings, using a dimensionality-reduction technique that represents muscle synergies and motion primitives. It is shown that a 2-D embedding of muscle activations can be decoded to a continuous profile of arm motion representation in the 3-D Cartesian space, embedded in a 2-D space. The system is used for the continuous control of a robot arm, using only EMG signals from the upper limb. The accuracy of the method is assessed through real-time experiments, including random arm motions.
European Commission (NEUROBIOTICS project FP6-IST-001917)