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Evaluation of feature extraction techniques in emotional state recognition
TLDR
We present in this paper a study of three EEG signals feature extraction techniques. Expand
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Decoding subtle forearm flexions using fractal features of surface electromyogram from single and multiple sensors
  • S. Arjunan, D. Kumar
  • Computer Science, Medicine
  • Journal of NeuroEngineering and Rehabilitation
  • 21 October 2010
TLDR
This paper reports the use of fractal properties of sEMG to reliably identify individual wrist and finger flexion, overcoming the earlier shortcomings. Expand
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Voiceless speech recognition using dynamic visual speech features
TLDR
This paper describes a voiceless speech recognition technique that utilizes dynamic visual features to represent the facial movements during phonation. Expand
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Efficacy of Guided Spiral Drawing in the Classification of Parkinson's Disease
TLDR
We have investigated the group-difference in the dynamic features during sketching of spiral between PD and control subjects with the aim of developing an accurate method for diagnosing PD patients. Expand
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Variability in Surface Electromyogram during Gait Analysis of Low Back Pain Patients
TLDR
This paper describes the analysis of the variance of the amplitude of surface electromyogram (SEMG) recorded from the L4/ L5 region of the erector spinae for healthy participants and people suffering with low back pain (LBP) when they were walking and running on a treadmill. Expand
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Visual Speech Recognition Using Image Moments and Multiresolution Wavelet Images
TLDR
This paper describes a new technique for recognizing speech using visual speech information. Expand
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Kurtosis and negentropy investigation of myo electric signals during different MVCs
This research deals with computing the non-Gaussianity in Surface Electromyogram signal (sEMG) using Negative entropy and Kurtosis values. The signal was acquired from three different finger andExpand
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Pattern classification of Myo-Electrical signal during different Maximum Voluntary Contractions: A study using BSS techniques
TLDR
Pattern classification of Myo-Electrical signal during different Maximum Voluntary Contractions: A study using BSS techniques using Independent Component Analysis (ICA). Expand
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Changes in decibel scale wavelength properties of EEG with alertness levels while performing sustained attention tasks
Loss of alertness can have dire consequences for people controlling motorized equipment or for people in professions such as defense. Electroencephalogram (EEG) is known to be related to alertness ofExpand
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Normalised Mutual Information of High-Density Surface Electromyography during Muscle Fatigue
TLDR
This study has developed a technique for identifying the presence of muscle fatigue based on spatial changes of the normalised mutual information (NMI) between multiple high density surface electromyography (HD-sEMG) channels. Expand
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