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In this paper, the thickness change of biceps brachii during the fatigue process is continuously monitored using one micro-size single-element ultrasound transducer and analyzed by the echo tracking algorithm. We focus on isometric, 50 % maximum voluntary contraction (MVC) of the elbow. Four subjects participates in the experiment and the result shows that the muscle thickness of biceps brachii continues...
Physiological signals such as EEG and EOG have been successfully applied to detect driving fatigue in single modality. In this paper, we propose a multimodal approach by combining partial EEG and forehead EOG to enhance driving fatigue detection. We investigate the key brain area where we collect the EEG to combine with forehead EOG. Our experiment results demonstrate that the temporal EEG signals...
Despite the recent increasing interest in biometric identification using electroencephalogram (EEG) signals, the state of the art still lacks a simple and robust model that is useful in real applications. This work proposes a new approach based on convolutional neural network CNN. The proposed CNN works directly on raw EEG data, thus alleviating the need for engineering features. We investigate the...
It is of great significance to detect and predict muscle fatigue for avoiding muscle injury and the negative effects on human-machine interface. This paper presents a novel approach to obtain reliable information about muscle fatigue by analyzing surface electromyography (sEMG) and near-infrared spectroscopy (NIRS) simultaneously. Muscle fatigue was induced via sustained isometric contraction at 50%...
Parkinson's disease (PD) is a neurodegenerative disorder and severely affects patients' daily lives. The diagnosis depends on the presence of one or more common motor symptoms of the disease. As PD is chronic and slowly progressive, the symptoms continue and worsen over a long period of time. Quantification of the PD's motor symptoms is helpful for diagnosing and monitoring patients' conditions. This...
Visual brain-computer interfaces (BCIs) have achieved great progress in speed recently. But the problem of visual fatigue caused by intense flashes poses a great challenge in designing practical systems for long-term use. A direct way to improve visual comfort is to reduce the stimulus contrast. But it could also weaken the featured evoked potentials, which would bring a negative impact on system...
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