The study of time domain features of EMG signals for detecting driver’s drowsiness
Fatigue or drowsiness is one of the major causes of traffic accidents in Malaysia. Physiological signals such as EMG is a useful input to detect drowsiness in drivers. The time domain features are easy to compute and well researched in the field of EMG hand motion detection. The focus of this paper...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Springer Science and Business Media Deutschland GmbH
2022
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/42244/1/The%20study%20of%20time%20domain%20features%20of%20EMG%20signals.pdf http://umpir.ump.edu.my/id/eprint/42244/2/The%20study%20of%20time%20domain%20features%20of%20emg%20signals%20for%20detecting%20driver%E2%80%99s%20drowsiness_ABS.pdf http://umpir.ump.edu.my/id/eprint/42244/ https://doi.org/10.1007/978-981-33-4597-3_39 |
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