Hand Gesture Recognition Research Based on Surface EMG Sensors and 2D-accelerometers
- 1 October 2007
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 15504816,p. 1-4
- https://doi.org/10.1109/iswc.2007.4373769
Abstract
For realizing multi-DOF interfaces in wearable computer system, accelerometers and surface EMG sensors are used synchronously to detect hand movement information for multiple hand gesture recognition. Experiments were designed to collect gesture data with both sensing techniques to compare their performance in the recognition of various wrist and finger gestures. Recognition tests were run using different subsets of information: accelerometer and sEMG data separately and combined sensor data. Experimental results show that the combination of sEMG sensors and accelerometers achieved 5-10% improvement in the recognition accuracies for hand gestures when compared to that obtained using sEMG sensors solely.Keywords
This publication has 4 references indexed in Scilit:
- Multiple Hand Gesture Recognition Based on Surface EMG SignalPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2007
- A Real-Time EMG Pattern Recognition System Based on Linear-Nonlinear Feature Projection for a Multifunction Myoelectric HandIEEE Transactions on Biomedical Engineering, 2006
- Gesture-based control and EMG decompositionIEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 2006
- Gestures as input: neuroelectric joysticks and keyboardsIEEE Pervasive Computing, 2003