in current years, the application of biopotential signals has received a lot of attention in literature. one of these signals is an electromyogram (emg) generated by active muscles. surface emg (semg) signal is recorded over the skin, as the representative of the muscle activity. since its amplitude can be as low as 50 µv, it is sensitive to undesirable noise signals such as power‑line interfer...

We present our research on continuous speech recognition of the surface electromyographic signals that are generated by the human articulatory muscles. Previous research on electromyographic speech recognition was limited to isolated word recognition because it was very difficult to train phoneme-based acoustic models for the electromyographic speech recognizer. In this paper, we demonstrate ho...

Facial expressions are an essential part of human communication. The integration of information transferred by these expressions into the human-computer interaction can lead to affective systems that are able to adapt their behavior according to reactions shown by the user. In this thesis we propose a system to detect and classify facial expressions based on surface electromyography (sEMG) sign...