Dual-layer ranking feature selection method based on statistical formula for driver fatigue detection of EMG signals
Electromyography (EMG) signals are one of the most studied inputs for driver drowsiness detection systems. As the number of EMG features available can be daunting, finding the most significant and minimal subset features is desirable. Hence, a simplified feature selection method is necessary. This w...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
International Information and Engineering Technology Association
2022
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/42665/1/Dual-layer%20ranking%20feature%20selection%20method%20based%20on%20statistical%20formula.pdf |