Electromyogram (EMG)-based control interfaces are increasingly used in robot teleoperation, prosthetic devices control and also in controlling robotic exoskeletons. Over the last two decades researchers have come up with a plethora of decoding functions to map myoelectric signals to robot motions. However, this requires a lot of training and validation data sets, while the parameters of the decoding function are specific for each subject. In this thesis we propose a new methodology that doesn't require training and is not user-specific.
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- Partial requirement for: M.S., Arizona State University, 2013Note typethesis
- Includes bibliographical references (p. 59-61)Note typebibliography
- Field of study: Mechanical engineering