Electromyogram technology captures gestures as input for neuroelectric joysticks and keyboards and thus could lead to new applications in flight control, space, and the video game industry. The authors describe how they used electrodes to capture the gestures, processed EMG signals from the muscles performing these gestures, and trained hidden Markov models to create systems used to successfully fly simulated aircraft to landings and recognize virtual keystrokes.
Index Terms:
Wearable devices, gestures as input, neuroelectric joysticks and keyboards, bioelectric joysticks and keyboards, electromyogram (EMG) technology, dry and wet electrodes, hidden Markov models, flight simulation, and virtual keystroke recognition.
Citation:
Kevin R. Wheeler, Charles C. Jorgensen, "Gestures as Input: Neuroelectric Joysticks and Keyboards," IEEE Pervasive Computing, vol. 2, no. 2, pp. 56-61, Apr.-June 2003, doi:10.1109/MPRV.2003.1203754 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||