Abstract
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.
Original language | English |
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Pages (from-to) | 313-316 |
Number of pages | 4 |
Journal | Biomedical Sciences Instrumentation |
Volume | 38 |
State | Published - 2002 |
Keywords
- EMG
- Learning
- Neural Network
- Teaching
- Telerobotic
- Virtual Environment