التفاصيل البيبلوغرافية
| العنوان: |
Driver Drowsiness Detection Using Smartphone Application |
| المؤلفون: |
Jyothika Anil, Milan Joseph Mathew, Namitha S Mukkadan, Reshmi Raveendran, Rintu Jose |
| بيانات النشر: |
Zenodo |
| سنة النشر: |
2023 |
| المجموعة: |
Zenodo |
| مصطلحات موضوعية: |
PERCLOS, NIR (Near Infrared Module), VUR (Voiced-unvoiced ratio), Mel frequency cepstral coefficients (MFCC) |
| الوصف: |
The risk of road accidents increases due to tiredness resulting from long-distance driving and sleep deprivation, leading to tiredness in the driver. To address this issue, a proposed framework suggests a smartphonebased system that uses a three-stage approach for detecting drowsiness. In the first stage, the front camera captures images and uses a modified eye state classification method to measure the percentage of eyelid closure (PERCLOS), which is supplemented with near-infrared lighting for night driving. In the second stage, the microphone records speech data to determine the voiced to unvoiced ratio if PERCLOS crosses a threshold. In the third stage, the driver is required to touch the screen within a certain time to confirm their alertness, triggering an alarm if deemed drowsy. The device also maintains a file of the metrics and coordinates. When compared to the existing systems, the proposed method has three advantages: a more reliable three-stage verification process, implementation on readily available Android smartphones, and SMS alerts to the control room. |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
unknown |
| Relation: |
https://doi.org/10.5281/zenodo.8012864; https://doi.org/10.5281/zenodo.8012865; oai:zenodo.org:8012865 |
| DOI: |
10.5281/zenodo.8012865 |
| الاتاحة: |
https://doi.org/10.5281/zenodo.8012865 |
| Rights: |
info:eu-repo/semantics/openAccess ; Creative Commons Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/legalcode |
| رقم الانضمام: |
edsbas.FC11ADF8 |
| قاعدة البيانات: |
BASE |