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The device is controlled by touching the tabletop display.
The device is controlled through a commercial microcontroller unit.
The device is controlled through advanced user interface with joystick and head mounted display with inertial head movement sensor.
The latter are associated with nonlinear system dynamics and can cause irregular joint movements when the device is controlled using linear control algorithms.
Moreover, the opportunity control logic is embedded in the hardware chip of mobile devices, and the working process of the device is controlled by the dynamic change of environment.
The device is controlled by a custom-designed software already described in [14].
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The acceleration applied to the device was controlled by a rotary stage, and a digital multimeter (Agilent 34401A) was used to measure the resistance of the four electrodes.
The movement of the device was controlled by the opposite hand thumb and the contact information was conveyed via electric stimulation from the tip of the extra robotic thumb to the tip of the finger controlling the movement.
The device was controlled by a custom-designed software described in Lutz et al. (2008) that calculated the corresponding phase hologram and addressed the pattern to the LCOS-SLM, given a target intensity distribution at the focal plane of the microscope objective.
However, misclassification as a "neutral" tongue position is less important because the "neutral" tongue position is useful as a stop command when the assistive device is controlled by the developed interface.
In addition, the sixth finger device is controlled by mirroring the movement of the thumb from the opposite hand, while giving somatosensory feedback from contact information via electrostimulations.
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