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A multi-modal approach for hand motion classification using surface EMG and accelerometers.

A Fougner¹, E Scheme, A D C Chan

¹Department of Engineering Cybernetics at the Norwegian University of Science and Technology, Trondheim, Norway. anders.fougner@itk.ntnu.no

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|January 19, 2012

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Adding accelerometers to prosthetic control systems can improve accuracy. For enhanced upper-limb prosthesis control, consider adding an accelerometer instead of a third electromyography (EMG) electrode.

Area of Science:

Biomedical Engineering
Rehabilitation Technology
Human-Machine Interfaces

Background:

Electromyography (EMG) is a standard for diagnostics and prosthesis control.
Commercial prostheses typically use limited electrode sites due to constraints.
Inertial sensors like accelerometers are increasingly used for motion tracking.

Purpose of the Study:

Investigate accelerometers as a cost-effective alternative to additional EMG electrodes.
Assess if accelerometers can enhance prosthesis control system accuracy.
Determine the optimal placement for accelerometers in prosthesis control.

Main Methods:

Integrated accelerometers into both multifunction and simplified prosthesis control systems.
Compared classification accuracy with and without accelerometer integration.

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Evaluated accelerometers against adding a third EMG electrode.

Main Results:

Accelerometers provide valuable supplementary data for prosthesis control.
Adding an accelerometer to a two-site EMG system improved accuracy.
An accelerometer on the forearm is more beneficial than a third EMG electrode.

Conclusions:

Accelerometers offer a practical solution to enhance upper-limb prosthesis control.
Integrating accelerometers can reduce the need for more complex EMG electrode setups.
Forearm-mounted accelerometers are recommended for improving existing two-site EMG systems.