Development of a learning module using a virtual environment to demonstrate EMG and telerobotic control principles.
A prototype system was developed for use as a teaching tool, allowing students to link EMG monitoring, data smoothing, robotic control, and neural network training within a rapid prototyping virtual environment (VE). The VE software allowed for the rapid development of scenarios and, when linked with EMG data input to a neural network, allowed the user to control an artificial world containing a virtual arm. Student teams then attempted to control the arm in the VE while performing the tasks by use of a neural network system they had specifically developed and trained using their own EMG signals. The results from their system were then translated into a form that enabled the control of a real robot. Students enjoyed the challenge and uniqueness of the module, and were enthusiastic about extending the concept to other areas of interest.
Patterson
P E
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College of Engineering, Iowa State University, Ames, Iowa 50011, USA.
D001690:Biological Science Disciplines / Q000193:education*; D003194:Computer-Assisted Instruction; D003479:Curriculum; D004576:Electromyography; D004738:Engineering / Q000193:education*; D007484:Iowa; D016571:Neural Networks, Computer; D012371:Robotics; D014584:User-Computer Interface