Deep learning and machine learning techniques for head pose estimation: a survey
Head pose estimation (HPE) has been extensively investigated over the past decade due to
its wide range of applications across several domains of artificial intelligence (AI), resulting …
its wide range of applications across several domains of artificial intelligence (AI), resulting …
[HTML][HTML] Real-time 6DoF full-range markerless head pose estimation
Head pose estimation is a fundamental function for several applications in human–computer
interactions. Accurate six degrees of freedom head pose estimation (6DoF-HPE) with full …
interactions. Accurate six degrees of freedom head pose estimation (6DoF-HPE) with full …
Driver multi-task emotion recognition network based on multi-modal facial video analysis
G Xiang, S Yao, X Wu, H Deng, G Wang, Y Liu, F Li… - Pattern Recognition, 2025 - Elsevier
Driver emotion recognition is crucial for enhancing the safety and user experience in driving
scenarios. However, current emotion recognition methods often rely solely on a single …
scenarios. However, current emotion recognition methods often rely solely on a single …
Driver Gaze Zone Estimation based on 3-Channel Convolution-optimized Vision Transformer with Transfer Learning
Z Li, S Jiang, R Fu, Y Guo, C Wang - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Driver gaze zone estimation (DGZE) is essential for detecting the driver's state and taking
over rule-making in intelligent driving systems. However, convolutional neural network …
over rule-making in intelligent driving systems. However, convolutional neural network …
Deep Insight: A Cloud Based Big Data Analytics Platform For Naturalistic Driving Studies Data Management, Analytics, and Automated Annotations
Naturalistic driving studies (NDS) are an increasingly popular method to research driving
behavior. They often result in large amounts of data varying in source and format (videos …
behavior. They often result in large amounts of data varying in source and format (videos …