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Electromyogram (EMG)-based facial gesture recognition has recently drawn the researchers' attention as a potential medium in different areas, particularly in assistive technology and rehabilitation. Efficient analysis of facial neuromuscular signals generated by different facial muscles can provide lots of information about underlying facial movement mechanisms which can be used to characterize different...
In this paper a new method for removing of Power Line Interference (PLI) and ECG Signal from EMG signal is proposed. This method is designed based on filtering of EMG signal corrupted with interference of power line and ECG (EMG+PLI+ECG), by using Matching Pursuit (MP) that is a time-frequency transform. For this reason, according to the cosine nature of PLI and alternative mode of ECG signal, Cosine...
Sleep staging has an effective role in diagnosing sleep disorders. Sleep staging is generally done by a sleep expert through examining Electroencephalogram (EEG), Electrooculogram (EOG), Electromyogram (EMG) signals of the patients and determining the stages of sleep in different time sections. This type of sleep staging is preferred among the sleep experts but because it is rather tiring and time...
Little attention has been paid so far to physiological signals for emotion recognition compared to audiovisual emotion channels such as facial expression or speech. This paper investigates the potential of physiological signals as reliable channels for emotion recognition. All essential stages of an automatic recognition system are discussed, from the recording of a physiological data set to a feature-based...
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