• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 167 matches

• 2021
• 
  Qaisar Abbas, Abdullah Alsheddy:
  Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysis. Sensors 21(1): 56 (2021)
• 2020
• 
  Elisabeth Schmidt:
  Effects of Thermal Stimulation during Passive Driver Fatigue. Chemnitz University of Technology, Germany, Springer Vieweg 2020, ISBN 978-3-658-28157-1, pp. 1-230
• 
  Bahjat Fatima, Ahmad Raza Shahid, Sheikh Ziauddin, Asad Ali Safi, Huma Ramzan:
  Driver Fatigue Detection Using Viola Jones and Principal Component Analysis. Appl. Artif. Intell. 34(6): 456-483 (2020)
• 
  Naveen Senniappan Karuppusamy, Bo-Yeong Kang:
  Multimodal System to Detect Driver Fatigue Using EEG, Gyroscope, and Image Processing. IEEE Access 8: 129645-129667 (2020)
• 
  Burcu Kir Savas, Yasar Becerikli:
  Real Time Driver Fatigue Detection System Based on Multi-Task ConNN. IEEE Access 8: 12491-12498 (2020)
• 
  Yin-Cheng Tsai, Peng-Wen Lai, Po-Wei Huang, Tzu-Min Lin, Bing-Fei Wu:
  Vision-Based Instant Measurement System for Driver Fatigue Monitoring. IEEE Access 8: 67342-67353 (2020)
• 
  Qianyang Zhuang, Zhang Kehua, Jiayi Wang, Qianqian Chen:
  Driver Fatigue Detection Method Based on Eye States With Pupil and Iris Segmentation. IEEE Access 8: 173440-173449 (2020)
• 
  Chi Zhang, Lina Sun, Fengyu Cong, Tuomo Kujala, Tapani Ristaniemi, Tiina Parviainen:
  Optimal imaging of multi-channel EEG features based on a novel clustering technique for driver fatigue detection. Biomed. Signal Process. Control. 62: 102103 (2020)
• 
  Feng Zhou, Areen Alsaid, Mike Blommer, Reates Curry, Radhakrishnan Swaminathan, Dev S. Kochhar, Walter J. Talamonti Jr., Louis Tijerina, Baiying Lei:
  Driver fatigue transition prediction in highly automated driving using physiological features. Expert Syst. Appl. 147: 113204 (2020)
• 
  Xiao Hong:
  A study on the fatigue of bus drivers based on biological models. Int. J. Biom. 12(1): 91-99 (2020)
• 
  Younes Ed-Doughmi, Najlae Idrissi, Youssef Hbali:
  Real-Time System for Driver Fatigue Detection Based on a Recurrent Neuronal Network. J. Imaging 6(3): 8 (2020)
• 
  Zhongmin Liu, Yuxi Peng, Wenjin Hu:
  Driver fatigue detection based on deeply-learned facial expression representation. J. Vis. Commun. Image Represent. 71: 102723 (2020)
• 
  Thomas Kundinger, Celena Mayr, Andreas Riener:
  Towards a Reliable Ground Truth for Drowsiness: A Complexity Analysis on the Example of Driver Fatigue. Proc. ACM Hum. Comput. Interact. 4(EICS): 78:1-78:18 (2020)
• 
  Seunghoon Lee, Minjae Kim, Hayoung Jung, Do-Hoon Kwon, Sunwoo Choi, Heecheon You:
  Effects of a Motion Seat System on Driver's Passive Task-Related Fatigue: An On-Road Driving Study. Sensors 20(9): 2688 (2020)
• 
  Weijia Jia, Hongjian Peng, Na Ruan, Zhiqing Tang, Wei Zhao:
  WiFind: Driver Fatigue Detection with Fine-Grained Wi-Fi Signal Features. IEEE Trans. Big Data 6(2): 269-282 (2020)
• 
  Aritra Chaudhuri, Aurobinda Routray:
  Driver Fatigue Detection Through Chaotic Entropy Analysis of Cortical Sources Obtained From Scalp EEG Signals. IEEE Trans. Intell. Transp. Syst. 21(1): 185-198 (2020)
• 
  Haider Kassem, Morshed U. Chowdhury, Jemal H. Abawajy, Ahmed Raad Al-Sudani:
  Yawn Based Driver Fatigue Level Prediction. CATA 2020: 372-382
• 
  Waldemar Karwowski, Przemyslaw Reszke, Marian Rusek:
  Artificial Intelligence System for Drivers Fatigue Detection. CISIM 2020: 39-50
• 
  Junmin Du, Weiyu Sun, Xin Zhang, Huimin Hu, Yang Liu, Haoshu Gu:
  Prevalence of Driving Schedule Habits and Fatigue Among Occupational Heavy Truck Drivers. HCI (40) 2020: 339-348
• 
  Ann Nosseir, Mohamed Esmat El-sayed:
  Detecting Cues of Driver Fatigue on Facial Appearance. IntelliSys (1) 2020: 710-723
• 
  Jieun Lee, Toshiaki Hirano, Makoto Itoh:
  Making Passenger Conversation in Partial Driving Automation: Effects of Relationship Between Driver and Passenger on Driver Fatigue and Driving Performance. SMC 2020: 1718-1722
• 
  Shahzeb Ansari, Haiping Du, Fazel Naghdy, David Stirling:
  Unsupervised Patterns of Driver Mental Fatigue State Based on Head Posture Using Gaussian Mixture Model. SSCI 2020: 2699-2704
• 
  Chen Zhang, Xiaobo Lu, Zhiliang Huang:
  A Driver Fatigue Recognition Algorithm Based on Spatio-Temporal Feature Sequence. CoRR abs/2003.08134 (2020)
• 
  Ken Alparslan, Yigit Alparslan, Matthew Burlick:
  Towards Evaluating Driver Fatigue with Robust Deep Learning Models. CoRR abs/2007.08453 (2020)
• 2019
• 
  Qian Cheng, Wuhong Wang, Xiaobei Jiang, Shanyi Hou, Yong Qin:
  Assessment of Driver Mental Fatigue Using Facial Landmarks. IEEE Access 7: 150423-150434 (2019)
• 
  Yiqing Liu, Tao Zhang, Zhen Li:
  3DCNN-Based Real-Time Driver Fatigue Behavior Detection in Urban Rail Transit. IEEE Access 7: 144648-144662 (2019)
• 
  Weihuang Liu, Jinhao Qian, Zengwei Yao, Xintao Jiao, Jiahui Pan:
  Convolutional Two-Stream Network Using Multi-Facial Feature Fusion for Driver Fatigue Detection. Future Internet 11(5): 115 (2019)
• 
  Zuojin Li, Qing Yang, Shengfu Chen, Wei Zhou, Liukui Chen, Lei Song:
  A fuzzy recurrent neural network for driver fatigue detection based on steering-wheel angle sensor data. Int. J. Distributed Sens. Networks 15(9) (2019)
• 
  Saima Naz, Sheikh Ziauddin, Ahmad Raza Shahid:
  Driver Fatigue Detection using Mean Intensity, SVM, and SIFT. Int. J. Interact. Multim. Artif. Intell. 5(4): 86-93 (2019)
• 
  Qing Cai, Zhongke Gao, Yuxuan Yang, Wei-Dong Dang, Celso Grebogi:
  Multiplex Limited Penetrable Horizontal Visibility Graph from EEG Signals for Driver Fatigue Detection. Int. J. Neural Syst. 29(5): 1850057:1-1850057:10 (2019)

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