FingerSense: augmenting expressiveness to physical pushing button by fingertip identification
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Toward subtle intimate interfaces for mobile devices using an EMG controller
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An architecture to improve the generalization of interacting device developments for accessibility
WebMedia '06 Proceedings of the 12th Brazilian Symposium on Multimedia and the web
Small-vocabulary speech recognition using surface electromyography
Interacting with Computers
Intimate interfaces in action: assessing the usability and subtlety of emg-based motionless gestures
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Hand gestures for HCI using ICA of EMG
VisHCI '06 Proceedings of the HCSNet workshop on Use of vision in human-computer interaction - Volume 56
Demonstrating the feasibility of using forearm electromyography for muscle-computer interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Multi modal gesture identification for HCI using surface EMG
Proceedings of the 12th international conference on Entertainment and media in the ubiquitous era
IEEE Transactions on Robotics - Special issue on rehabilitation robotics
Speech interfaces based upon surface electromyography
Speech Communication
An adaptive feature extractor for gesture SEMG recognition
ICMB'08 Proceedings of the 1st international conference on Medical biometrics
Key-press gestures recognition and interaction based on SEMG signals
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
A continuous control scheme for multifunctional robotic arm with surface EMG signal
ICIRA'10 Proceedings of the Third international conference on Intelligent robotics and applications - Volume Part I
A muscular activation controlled rehabilitation robot system
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
Identification of Hand and Finger Movements Using Multi Run ICA of Surface Electromyogram
Journal of Medical Systems
| Hi-index | 0.00 |
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.