Driver State and Behavior Detection Through Smart Wearables
暂无分享,去创建一个
Mehdi Boukhechba | Arsalan Heydarian | Shashwat Kumar | Arash Tavakoli | Arsalan Heydarian | A. Tavakoli | Shashwat Kumar | M. Boukhechba
[1] Mohamed Taher Alrefaie,et al. In a heart beat: Using driver's physiological changes to determine the quality of a takeover in highly automated vehicles. , 2019, Accident; analysis and prevention.
[2] Rushil Khurana,et al. Eyes on the Road: Detecting Phone Usage by Drivers Using On-Device Cameras , 2020, CHI.
[3] John D Lee,et al. Moving Into the Loop: An Investigation of Drivers’ Steering Behavior in Highly Automated Vehicles , 2019, Hum. Factors.
[4] Guoliang Xing,et al. SafeWatch: A Wearable Hand Motion Tracking System for Improving Driving Safety , 2017, 2017 IEEE/ACM Second International Conference on Internet-of-Things Design and Implementation (IoTDI).
[5] Niall Twomey,et al. A Comprehensive Study of Activity Recognition Using Accelerometers , 2018, Informatics.
[6] Lu Feng,et al. Toward Minimum Startle After Take-Over Request: A Preliminary Study of Physiological Data , 2020, AutomotiveUI.
[7] Alex Fridman,et al. Human-Centered Autonomous Vehicle Systems: Principles of Effective Shared Autonomy , 2018, ArXiv.
[8] Daniel McDuff,et al. Driver Frustration Detection from Audio and Video in the Wild , 2016, IJCAI.
[9] Alina Roitberg,et al. Open Set Driver Activity Recognition , 2020, 2020 IEEE Intelligent Vehicles Symposium (IV).
[10] Philipp Wintersberger,et al. Feasibility of smart wearables for driver drowsiness detection and its potential among different age groups , 2020, Int. J. Pervasive Comput. Commun..
[11] Quan Z. Sheng,et al. A review and categorization of techniques on device-free human activity recognition , 2020, J. Netw. Comput. Appl..
[12] Lu Feng,et al. DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data , 2020, CHI.
[13] Alex Fridman,et al. Cognitive Load Estimation in the Wild , 2018, CHI.
[14] Sriram Chellappan,et al. Detecting Distracted Driving Using a Wrist-Worn Wearable , 2018, 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops).
[15] D. Bai,et al. Stress and Heart Rate Variability: A Meta-Analysis and Review of the Literature , 2018, Psychiatry investigation.
[16] Gyogwon Koo,et al. Wearable Device-Based System to Monitor a Driver’s Stress, Fatigue, and Drowsiness , 2018, IEEE Transactions on Instrumentation and Measurement.
[17] Stojan Trajanovski,et al. Deep Physiological Arousal Detection in a Driving Simulator Using Wearable Sensors , 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).
[18] Richard P. Martin,et al. Toward Detection of Unsafe Driving with Wearables , 2015, WearSys@MobiSys.
[19] Nitesh V. Chawla,et al. SMOTE: Synthetic Minority Over-sampling Technique , 2002, J. Artif. Intell. Res..
[20] Luke Stark,et al. "I Don't Want Someone to Watch Me While I'm Working": Gendered Views of Facial Recognition Technology in Workplace Surveillance , 2020, J. Assoc. Inf. Sci. Technol..
[21] João Gama,et al. Human Activity Recognition Using Inertial Sensors in a Smartphone: An Overview , 2019, Sensors.
[22] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[23] Nabil Alshurafa,et al. I Can't Be Myself: Effects of Wearable Cameras on the Capture of Authentic Behavior in the Wild , 2018, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..
[24] Mehdi Boukhechba,et al. HARMONY: A Human-Centered Multimodal Driving Study in the Wild , 2021, IEEE Access.
[25] William J. Horrey,et al. Recognition of Manual Driving Distraction Through Deep-Learning and Wearable Sensing , 2019 .
[26] Imen Jegham,et al. Vision-based human action recognition: An overview and real world challenges , 2020, Digit. Investig..
[27] Mehdi Boukhechba,et al. Personalized Driver State Profiles: A Naturalistic Data-Driven Study , 2020, AHFE.
[28] Faicel Chamroukhi,et al. Physical Human Activity Recognition Using Wearable Sensors , 2015, Sensors.
[29] Mehdi Boukhechba,et al. SWear: Sensing Using WEARables. Generalized Human Crowdsensing on Smartwatches , 2020, AHFE.
[30] Mohan M. Trivedi,et al. Head, Eye, and Hand Patterns for Driver Activity Recognition , 2014, 2014 22nd International Conference on Pattern Recognition.
[31] Netzahualcóyotl Hernández,et al. Literature Review on Transfer Learning for Human Activity Recognition Using Mobile and Wearable Devices with Environmental Technology , 2020, SN Computer Science.
[32] Hongkai Chen,et al. MagTrack: Enabling Safe Driving Monitoring with Wearable Magnetics , 2019, MobiSys.
[33] I. Nourbakhsh,et al. On the future of transportation in an era of automated and autonomous vehicles , 2019, Proceedings of the National Academy of Sciences.
[34] William J Horrey,et al. Detection of driver manual distraction via image-based hand and ear recognition. , 2020, Accident; analysis and prevention.
[35] Haotian Cao,et al. Driver activity recognition using spatial‐temporal graph convolutional LSTM networks with attention mechanism , 2020, IET Intelligent Transport Systems.
[36] Andreas W. Kempa-Liehr,et al. Time Series FeatuRe Extraction on basis of Scalable Hypothesis tests (tsfresh - A Python package) , 2018, Neurocomputing.