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Full-Text Articles in Engineering
Motion Intention Estimation Using Semg-Acc Sensor Fusion, Jose Alejandro Lopez
Motion Intention Estimation Using Semg-Acc Sensor Fusion, Jose Alejandro Lopez
Electronic Thesis and Dissertation Repository
Musculoskeletal injuries can severely impact the ability to produce and control body motion. In order to regain function, rehabilitation is often required. Wearable smart devices are currently under development to provide therapy and assistance for people with impaired arm function. Electromyography (EMG) signals are used as an input to pattern recognition systems to determine intended movements.
However, there is a gap between the accuracy of pattern recognition systems in constrained laboratory settings, and usability when used for detecting dynamic unconstrained movements. Motion factors such as limb position, interaction force, and velocity, are known to have a negative impact on the …
Dynamic Calibration Of Emg Signals For Control Of A Wearable Elbow Brace, Taylor Stanbury
Dynamic Calibration Of Emg Signals For Control Of A Wearable Elbow Brace, Taylor Stanbury
Electronic Thesis and Dissertation Repository
Musculoskeletal injuries can severely inhibit performance of activities of daily living. In order to regain function, rehabilitation is often required. Assistive devices for use in rehabilitation are an avenue explored to increase arm mobility by guiding therapeutic exercises or assisting with motion. Electromyography (EMG), which are the muscle activity signals, may be able to provide an intuitive interface between the patient and the device if appropriate classification models allow smart systems to relate these signals to the desired device motion.
Unfortunately, there is a gap in the accuracy of pattern recognition models classifying motion in constrained laboratory environments, and large …