Review on Drowsiness Detection
This paper relates the street mishaps that happen because of driver's drowsiness. Recent studies state that more disastersare caused due to doziness. Drivers can feel drowsiness due to sleep deprivation, continuously driving, drugs andmedicines, and so on. Accidents caused due to doziness a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
European Alliance for Innovation (EAI)
2020-08-01
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| Series: | EAI Endorsed Transactions on Smart Cities |
| Subjects: | |
| Online Access: | https://eudl.eu/pdf/10.4108/eai.13-7-2018.165517 |
| _version_ | 1818974798607286272 |
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| author | Apoorva Apoorva D Vali Rakesh R |
| author_facet | Apoorva Apoorva D Vali Rakesh R |
| author_sort | Apoorva Apoorva |
| collection | DOAJ |
| description | This paper relates the street mishaps that happen because of driver's drowsiness. Recent studies state that more disastersare caused due to doziness. Drivers can feel drowsiness due to sleep deprivation, continuously driving, drugs andmedicines, and so on. Accidents caused due to doziness are more than drink driving. This paper traces many methods todetect drowsiness and alerts the driver. There are two approaches to detect drowsiness. First is physiologically based andanother is behavioral-based. Also there are other approached used. Many technologies are used for detecting the wearinessof the driver. It is a review paper of numerous advancements utilized by various scientists. In addition, human conduct canalso be studied. Also, the discovery of drowsiness with eyes open is conceivable. In countenance detection technology,driver weariness recognition is one of the major possible businesses uses. Here how drivers can be alerted using differentmethods is discussed. |
| first_indexed | 2024-12-20T15:45:47Z |
| format | Article |
| id | doaj.art-76274cc3a46744dda5f15a0bfc0f3580 |
| institution | Directory Open Access Journal |
| issn | 2518-3893 |
| language | English |
| last_indexed | 2024-12-20T15:45:47Z |
| publishDate | 2020-08-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Smart Cities |
| spelling | doaj.art-76274cc3a46744dda5f15a0bfc0f35802022-12-21T19:34:57ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Smart Cities2518-38932020-08-0141210.4108/eai.13-7-2018.165517Review on Drowsiness DetectionApoorva Apoorva0D Vali1Rakesh R2Computer Science & Engineering, Vidyavardhaka College of Engineering, Mysuru, IndiaComputer Science & Engineering, Vidyavardhaka College of Engineering, Mysuru, IndiaComputer Science & Engineering, Vidyavardhaka College of Engineering, Mysuru, IndiaThis paper relates the street mishaps that happen because of driver's drowsiness. Recent studies state that more disastersare caused due to doziness. Drivers can feel drowsiness due to sleep deprivation, continuously driving, drugs andmedicines, and so on. Accidents caused due to doziness are more than drink driving. This paper traces many methods todetect drowsiness and alerts the driver. There are two approaches to detect drowsiness. First is physiologically based andanother is behavioral-based. Also there are other approached used. Many technologies are used for detecting the wearinessof the driver. It is a review paper of numerous advancements utilized by various scientists. In addition, human conduct canalso be studied. Also, the discovery of drowsiness with eyes open is conceivable. In countenance detection technology,driver weariness recognition is one of the major possible businesses uses. Here how drivers can be alerted using differentmethods is discussed.https://eudl.eu/pdf/10.4108/eai.13-7-2018.165517svmdrowsinessecgeegemgdriver fatigue monitoringadaboost |
| spellingShingle | Apoorva Apoorva D Vali Rakesh R Review on Drowsiness Detection EAI Endorsed Transactions on Smart Cities svm drowsiness ecg eeg emg driver fatigue monitoring adaboost |
| title | Review on Drowsiness Detection |
| title_full | Review on Drowsiness Detection |
| title_fullStr | Review on Drowsiness Detection |
| title_full_unstemmed | Review on Drowsiness Detection |
| title_short | Review on Drowsiness Detection |
| title_sort | review on drowsiness detection |
| topic | svm drowsiness ecg eeg emg driver fatigue monitoring adaboost |
| url | https://eudl.eu/pdf/10.4108/eai.13-7-2018.165517 |
| work_keys_str_mv | AT apoorvaapoorva reviewondrowsinessdetection AT dvali reviewondrowsinessdetection AT rakeshr reviewondrowsinessdetection |