Deep Learning-Based Drivers Emotion Classification System in Time Series Data for Remote Applications
暂无分享,去创建一个
Ateeq Ur Rehman | Woong-Kee Loh | Anand Paul | Abdul Rehman | Rizwan Ali Naqvi | Muhammad Arsalan | Anand Paul | W. Loh | A. Rehman | Muhammad Arsalan | R. A. Naqvi | Abdul Rehman | A. Rehman
[1] Antonio Fernández-Caballero,et al. Selection of a Visible-Light vs. Thermal Infrared Sensor in Dynamic Environments Based on Confidence Measures , 2014 .
[2] Albert Kircher,et al. A Gaze-Based Driver Distraction Warning System and Its Effect on Visual Behavior , 2013, IEEE Transactions on Intelligent Transportation Systems.
[3] Mubarak Shah,et al. Determining driver visual attention with one camera , 2003, IEEE Trans. Intell. Transp. Syst..
[4] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[5] Bo Chen,et al. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications , 2017, ArXiv.
[6] Kang Ryoung Park,et al. Empirical Study on Designing of Gaze Tracking Camera Based on the Information of User’s Head Movement , 2016, Sensors.
[7] Mohammad Soleymani,et al. A Multimodal Database for Affect Recognition and Implicit Tagging , 2012, IEEE Transactions on Affective Computing.
[8] Thierry Pun,et al. DEAP: A Database for Emotion Analysis ;Using Physiological Signals , 2012, IEEE Transactions on Affective Computing.
[9] John D. Lee,et al. Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines , 2007, IEEE Transactions on Intelligent Transportation Systems.
[10] Kang Ryoung Park,et al. Estimation of Gaze Detection Accuracy Using the Calibration Information-Based Fuzzy System , 2016, Sensors.
[11] Rafael Pires de Lima,et al. Convolutional Neural Network for Remote-Sensing Scene Classification: Transfer Learning Analysis , 2019, Remote. Sens..
[12] Zhiwei Zhu,et al. Real-time nonintrusive monitoring and prediction of driver fatigue , 2004, IEEE Transactions on Vehicular Technology.
[13] Andrius Dzedzickis,et al. Human Emotion Recognition: Review of Sensors and Methods , 2020, Sensors.
[14] Mohan M. Trivedi,et al. Multi-spectral and multi-perspective video arrays for driver body tracking and activity analysis , 2007, Comput. Vis. Image Underst..
[15] Ram Dantu,et al. Safe Driving Using Mobile Phones , 2012, IEEE Transactions on Intelligent Transportation Systems.
[16] Sung-Phil Kim,et al. Detection of Drivers’ Anxiety Invoked by Driving Situations Using Multimodal Biosignals , 2020 .
[17] Kang Ryoung Park,et al. Convolutional Neural Network-Based Classification of Driver’s Emotion during Aggressive and Smooth Driving Using Multi-Modal Camera Sensors , 2018, Sensors.
[18] Kang Ryoung Park,et al. Deep Learning-Based Gaze Detection System for Automobile Drivers Using a NIR Camera Sensor , 2018, Sensors.
[19] Gamini Dissanayake,et al. Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm , 2011, IEEE Transactions on Biomedical Engineering.
[20] Michael Swan Laufer,et al. Artificial Intelligence in Humans , 2013, ArXiv.
[21] Miguel Ángel Sotelo,et al. Real-time system for monitoring driver vigilance , 2004, Proceedings of the IEEE International Symposium on Industrial Electronics, 2005. ISIE 2005..
[22] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[23] Sung Wook Baik,et al. Deep features-based speech emotion recognition for smart affective services , 2017, Multimedia Tools and Applications.
[24] Hamidur Rahman,et al. Non-contact-based driver's cognitive load classification using physiological and vehicular parameters , 2020, Biomed. Signal Process. Control..
[25] I. Cuthill,et al. Effect size, confidence interval and statistical significance: a practical guide for biologists , 2007, Biological reviews of the Cambridge Philosophical Society.
[26] Jon Atli Benediktsson,et al. Remote Sensing Big Data Classification with High Performance Distributed Deep Learning , 2019, Remote Sensing.