Reference health
Improving Driver Alertness through Music Selection Using a Mobile EEG to Detect Brainwaves
19/19 checkable references clean · checked 2026-07-23
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
22 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 19 checked references that resolve
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Evaluation of mental fatigue using feature parameter extracted from event-related potential
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Artificial Neural Network Based Epileptic Detection Using Time-Domain and Frequency-Domain Features
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EEG signal classification using wavelet feature extraction and a mixture of expert model
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Classification of EEG signals using relative wavelet energy and artificial neural networks
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sw-SVM: sensor weighting support vector machines for EEG-based brain–computer interfaces
resolves10.1109/MLSP.2009.5306203
A Gaussian mixture model based statistical classification system for neonatal seizure detection
resolves10.1145/502585.502625
A music recommendation system based on music data grouping and user interests
resolves10.1109/TASL.2009.2033973
MusicBox: Personalized Music Recommendation Based on Cubic Analysis of Social Tags
resolves10.1016/j.ipm.2012.06.004
Semantic audio content-based music recommendation and visualization based on user preference examples
resolves10.1007/s10489-008-0153-8
Sequential multi-criteria feature selection algorithm based on agent genetic algorithm
resolves10.1007/s10489-012-0363-y
Comparison of content-based music recommendation using different distance estimation methods
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no DOI — not checkedYokoyama, M., Oguri, K., and Miyaji, M. (2008, January 16–20). Effect of Sound Pressure Levels of Music on Driver's Drowsiness. New York, NY, USA.
no DOI — not checkedThe research development on driving fatigue based on perclos
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no DOI — not checkedMeasuring kolmogorov entropy of eeg for studying the state of mental fatigue
no DOI — not checkedAssessment based on nonlinear parameters of eeg α waves for human-body fatigues
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no DOI — not checkedEeg-based drowsiness estimation for safety driving using independent component analysis
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no DOI — not checkedYazdani, A., Ebrahimi, T., and Hoffmann, U. (May, January 29). Classification of EEG Signals Using Dempster Shafer Theory and a K-Nearest Neighbor Classifier. Antalya, Turkey.
no DOI — not checkedSulaiman, N., Taib, M.N., Lias, S., Murat, Z.H., Aris, S.A.M., and Hamid, N.H.A. (April, January 30). EEG-Based Stress Features Using Spectral Centroids Technique and K-Nearest Neighbor Classifier. Cambridge, UK.
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no DOI — not checkedWallerius, J., Trejo, L.J., Matthews, R., Rosipal, R., and Caldwell, J.A. (2005, January 22–27). Robust Feature Extraction and Classification of Eeg Spectra for Real-Time Classification of Cognitive State. Las Vegas, NV, USA.
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