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A System of Driving Fatigue Detection Based on Machine Vision and Its Application on Smart Device.

, , , , , and . J. Sensors, (2015)

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Center of rotation automatic measurement for fan-beam CT system based on sinogram image features., , , , , , and . Neurocomputing, (2013)Causality from Cz to C3/C4 or between C3 and C4 revealed by granger causality and new causality during motor imagery., , , , and . IJCNN, page 3178-3185. IEEE, (2014)A System of Driving Fatigue Detection Based on Machine Vision and Its Application on Smart Device., , , , , and . J. Sensors, (2015)LMI-Based Approach for Global Asymptotic Stability Analysis of Discrete-Time Cohen-Grossberg Neural Networks., , , , , and . ISNN (1), volume 4491 of Lecture Notes in Computer Science, page 968-976. Springer, (2007)A Comparative Study of Two Reference Estimation Methods in EEG Recording., , , , , , , and . BICS, volume 7366 of Lecture Notes in Computer Science, page 321-328. Springer, (2012)Bayesian Covariance Representation with Global Informative Prior for 3D Action Recognition., , , and . ACM Trans. Multim. Comput. Commun. Appl., 17 (4): 135:1-135:22 (2021)Motor imagery classification based on joint regression model and spectral power., , , , and . Neural Computing and Applications, 23 (7-8): 1931-1936 (2013)Discriminative Saliency-pose-attention Covariance for Action Recognition., , , and . ICASSP, page 2132-2136. IEEE, (2019)ReliefF-Based EEG Sensor Selection Methods for Emotion Recognition., , , , , and . Sensors, 16 (10): 1558 (2016)Brain Effective Connectivity Analysis from EEG for Positive and Negative Emotion., , , and . ICONIP (4), volume 10637 of Lecture Notes in Computer Science, page 851-857. Springer, (2017)