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This paper presents a study of speech recognition based on electromyographic biosignals captured from the articulatory muscles in the face using surface electrodes. This paper compares the speech recognition system for spoken English and Malay words by a group of Malay native speakers. Feature extraction was done in both temporal and time-frequency domains. Temporal features used are integrated EMG...
The performance of speech recognition systems is commonly degraded by either speech-related disabilities or by real-world factors such as the environmentpsilas noise level and reverberation. In this work, we propose a subvocal speech recognition system based on EMG signal for subvocal acquisition, Independent Component Analysis (ICA) for feature extraction and Neural Networks for classification. We...
Performance analysis in sports activities such as rowing requires measurement of athlete hand force. The use of inexpensive and easily portable active electromyogram (EMG) electrodes and position sensors would be advantageous compared to the use of heavy duty expensive force sensors that require bulky frames and are vulnerable to overload. In this study, artificial neural networks (ANN) are employed...
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