PPT-EyeGuardian : A Framework of Eye Tracking and Blink Detection

EyeGuardian A Framework of Eye Tracking and Blink Detection for Mobile Device Users 1 Seongwon Han Sungwon Yang Jihyoung Kim Mario Gerla Computer Science Department University of California Los Angeles. Each blink begins with inhibition of the tonic contraction of levator palpebrae muscles LP that otherwise keep the upper eyel ids elevated during wakefulness 1 In addition orbicularis oculi muscles OO then contract to close the eyelids actively The Detection and Tracking of Intruding Objects in Restricted AreaTo detect objects existing in restrictedareas, it is necessary to extract objects in video frames. Object extraction consists of backgroun Er. . Sahil Khanna. www.SahilKhanna.org. It’s VIDEO time!. Circuit Diagram. //Code. Download Link ->. www.sahilkhanna.org. /blog/. arduino. -blink-program. int. . led. = 8;. Code Explantation . Nov 04, 2013. Dr. Riad I. Hammoud. . Guest Lecture at MIT (PPAT). Eye Tracking as a Non-Invasive Tool to Collect Rich Eye Data for Various Applications . Eye Tracking Device . Operators. ALS/CP. Patients. Antonio J. . Peña . . . Pavan. . Balaji. Argonne National . Laboratory Argonne National Laboratory. apenya@anl.gov. . balaji@anl.gov. . Motivation. Profiling is of great assistance in understanding and optimizing apps’ . Workshop on Performance Evaluation of Tracking Systems 2007, . held at the International Conference on Computer Vision 2007. Gerald Dalley, . Xiaogang. Wang, and W. Eric L. Grimson. Processing Pipeline. Antonio J. . Peña . . . Pavan. . Balaji. Argonne National . Laboratory Argonne National Laboratory. apenya@anl.gov. . balaji@anl.gov. . Motivation. Profiling is of great assistance in understanding and optimizing apps’ . 22 . Outubro. 2007. . Universidade. Federal do Paraná.. Gerald Dalley, . Xiaogang. Wang, and W. Eric L. Grimson. Glasgow Airport. 4 cameras. 9 video clips. 1 for training. 8 for testing. Dataset Description. Avinash Mohak. Visual Object Tracking. Basic Problem: . Given a target object, we need to estimate its location over time. . Previous Works:. Tracking-by-Detection. Adaptive Tracking-by-Detection. Review of Burmese Python Workshops and Next Steps. Rebekah . Gibble (FWS) and Tylan . Dean . (ENP). Objective. Provide an overview of two recent python workshops: A structured decision making workshop focused on low-density management of pythons sponsored by USFWS and USGS (held June 2014) and a Science review workshop sponsored by ENP and USGS (held November 2013). . David K. Wittenberg, . Edin. . Kadric. , Andre . DeHon. , Jonathan Edwards, Jeffrey Smith, and . Silviu. . Chiricescu. The Problem – Wide Area Motion Imaging . (WAMI). Want real-time data. High resolution - 368 Cell phone cameras . Karen Andeen. 10 June 2015. HV Blink—before blink. HV Blink—blink!. HV Blink—after blink. HV Blink—ground commanding. (note: tracker also fixing bit flips). What happened?. The status monitor checks its values against the . Review of Burmese Python Workshops and Next Steps. Rebekah . Gibble (FWS) and Tylan . Dean . (ENP). Objective. Provide an overview of two recent python workshops: A structured decision making workshop focused on low-density management of pythons sponsored by USFWS and USGS (held June 2014) and a Science review workshop sponsored by ENP and USGS (held November 2013). . Ziho. Kang. Industrial and Systems Engineering. Research focus. Characterizing eye tracking data through data analysis algorithms. . . E.g. Visual scanning sequence comparison methods, or clustering methods..