Web3 mrt. 2024 · Driver distraction and fatigue are among the leading contributing factors in various fatal accidents. Driver activity monitoring can effectively reduce the number of roadway accidents. Besides the traditional methods that rely on camera or wearable devices, wireless technology for driver’s activity monitoring has emerged with … http://www.davidanastasiu.net/pdf/papers/2024-VatsA-CVPRW-NDAR.pdf
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Web31 mrt. 2024 · To understand the driver behaviors, a driver activities recognition system is designed based on the deep convolutional neural networks (CNN) in this paper. … Web22 aug. 2024 · To highlight the utility of various views and modalities included in our dataset, we perform driver activity recognition experiments based on STIP features. In this section, we provide the result of every modality independently and then we provide the results of the data fusion approach for driver action recognition using MDAD. barbara sering
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WebWe present a key point-based activity recognition frame- work, built upon pre-trained human pose estimation and fa- cial feature detection models. Our method extracts com- … Web23 dec. 2024 · 345ishaan/Driver-Activity-Recognition. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. master. … Web1 okt. 2024 · Building on this, Weyers et al. demonstrate a system for driver activity recognition based on analysis of key body points of the driver and a recurrent neural network [13], and Yang et al. further ... barbara series