Web14 mei 2024 · The NTHU-DDD dataset was a dataset developed by National Tsing Hua University, which was used at the Asian Conference on Computer Vision Workshop on … WebIn recent times, driver drowsiness is one of the major reasons for road accidents that leads to severe physical injuries, deaths and significant economic losses. Hence, the existing driver drowsiness detection systems require a countermeasure ...
Driver drowsiness detection system based on infinite feature …
WebOur approach has achieved an accuracy of 94.74% on the National Tsinghua University Driver Drowsiness Detection (NTHU-DDD) dataset, outperforming other 3D convolutional network-based state-of-art approaches. Published in: 2024 13th International Conference on Information and Communication Technology Convergence (ICTC) Article #: WebA 20% rise in car crashes in 2024 compared to 2024 has been observed as aresult of increased distraction and drowsiness. Drowsy and distracted drivingare the cause of 45% of all car crashes. As a means to decrease drowsy anddistracted driving, detection methods using computer vision can be designed tobe low-cost, accurate, and minimally … theory test malta online booking
NTHU Drowsy Driver Detection (NTHU-DDD) Video Dataset
WebThe proposed framework is evaluated with the NTHU Drowsy Driver Detection video dataset. The experimental results show that our framework outperforms the existing drowsiness detection methods based on visual analysis. PDF Paper record Results in Papers With Code (↓ scroll down to see all results) WebPython · Drowsiness_dataset, prediction images. driver drowsiness using keras. Notebook. Input. Output. Logs. Comments (50) Run. 4.1s. history Version 2 of 2. … Web8 apr. 2024 · The models detect four types of different features such as hand gestures, facial expressions, behavioral features, and head movements. The authors used NTH Drowsy Driver Detection (NTHU-DDD) video dataset in this article. They passed the RGB videos as input and the goal of that input is detecting the driver drowsiness. theory test malta exam