Student: Ibraheem Frieslaar Supervisor: Mehrdad Ghaziasgar.

Slides:

Advertisements

Similar presentations

Problem 1: Balls Problem 2: Josephine Problem 3: Alternating List.

Advertisements

The Intelligent Parking System SDP 07 Team Frasier Tom Cleary Matt Regan Bill Ryan Adam Bailin.

NATHAN DE LA CRUZ SUPERVISOR: MEHRDAD GHAZIASGAR MENTORS: DANE BROWN AND DIEGO MUSHFIELDT Lie Detection System Using Facial Expressions.

David Wild Supervisor: James Connan Rhodes University Computer Science Department Gaze Tracking Using A Webcamera.

Student: Ibraheem Frieslaar Supervisor: Mehrdad Ghaziasgar.

Stanford hci group / stanford · 14 January 2008 Designing Interface Alternatives with Parallel Exploration and Runtime Tuning.

SM4140 Graduation Thesis Mid-term Presentation. Introduction Interactive Video Installation Allowing audience to be an active role in watching a video.

Stanford hci group / cs376 research topics in human-computer interaction Multimodal Interfaces Scott Klemmer 15 November 2005.

Behavior Analysis Midterm Report Lipov Irina Ravid Dan Kotek Tommer.

Application Programming Interface For Tracking Face & Eye Motion Team Members Tharaka Roshan Pathberiya Nimesh Saveendra Chamara Susantha Gayan Gunarathne.

Lie Detection System Using Micro-Expressions

The role of eye tracking in usability evaluation of LMS in ODL context Mr Sam Ssemugabi Ms Jabulisiwe Mabila (Professor Helene Gelderblom) College of Science.

 At the end of this class, students are able to  Describe definition of input devices clearly  List out the examples of input devices  Describe.

Augmented Reality and 3D modelling Done by Stafford Joemat Supervised by Mr James Connan and Mr Mehrdad Ghaziasgar.

ELECTRONIC CONDUCTING SYSTEM Kenzo Abrahams Supervisor: Mehrdad Ghaziasgar Co-supervisor: James Connan Assisted by: Diego Mushfieldt.

Multimedia Specification Design and Production 2013 / Semester 2 / week 8 Lecturer: Dr. Nikos Gazepidis

Use of Eye Movement Gestures for Web Browsing Kevin Juang Frank Jasen Akshay Katrekar Joe Ahn.

By: Hadley Scholtz Supervisor: Mehrdad Ghaziasgar Co – supervisor: James Connan Assisted by: Ibraheem Frieslaar.

 An eye tracking system records how the eyes move when a subject is sitting in front of a computer screen.  The human eyes are constantly moving until.

Capturing, Encoding and Rendering Gestures using the Kinect Adan Patience Supervisor: Mr. Mehrdad Ghaziasgar Co-Supervisor: Mr. Reginald McDonald Dodds.

By: Hadley Scholtz Supervisor: Mehrdad Ghaziasgar Co - supervisor: James Connan Mentor: Ibraheem Frieslaar.

By: Hadley Scholtz Supervisor: Mehrdad Ghaziasgar Co - supervisor: James Connan Mentor: Ibraheem Frieslaar.

COMPUTER PARTS AND COMPONENTS INPUT DEVICES

David Wild Supervisor: James Connan Rhodes University Computer Science Department Eye Tracking Using Infrared.

Electronic Conducting System Kenzo Abrahams Supervisor: Mehrdad Ghaziasgar Co-supervisor: James Connon Mentored by: Diego Mushfieldt.

National institute of science & technology BLINK DETECTION AND TRACKING OF EYES FOR EYE LOCALIZATION LOPAMUDRA CS BLINK DETECTION AND TRACKING.

By: Kenzo Abrahams Supervisor: Mehrdad Ghaziasgar Co-supervisor: James Connan Mentored by: Diego Mushfieldt.

ELECTRONIC CONDUCTING SYSTEM An easy way of learning how to conduct music Kenzo Abrahams Supervisor: Mehrdad Ghaziasgar Co-supervisor: James Connon Assited.

Anaglyph Videos Student:Jihaad Pienaar Supervisor: Mr Mehrdad Ghaziasgar Co-Supervisor:Mr James Connan Mentors: Mr Roland Foster & Mr Kenzo Abrahams.

Virtual Characters. Overview What is a digital character? What is a digital character? Why do would we want digital characters? Why do would we want digital.

CAPTURING, ENCODING AND RENDERING GESTURES USING THE KINECT by Adan Patience Supervisor: Mr Mehrdad Ghazi-Asgar.

Touch Screen, Head Mouse and Eye Gaze. Alternatives to the mouse & keyboard One alternative to the keyboard and mouse is a touch screen monitor Particularly.

Student: Ibraheem Frieslaar Supervisor: Mehrdad Ghaziasgar.

Virtual Desktop Peephole By Kyle Patience Supervisor: Reginald Dodds Co Supervisor: Mehrdad Ghaziasgar.

Virtual Desktop Peephole By Kyle Patience Supervisor: Reginald Dodds Co Supervisor: Mehrdad Ghaziasgar.

Virtual Image Peephole By Kyle Patience Supervisor: Reg Dodds Co Supervisor: Mehrdad Ghaziasgar.

David Wild Supervisor: James Connan Rhodes University Computer Science Department Eye Tracking Using A Simple Webcamera.

Capturing, Encoding and Rendering Gestures using the Kinect Adan Patience Supervisor: Mr. Merhdad Ghaziasgar Co-Supervisor: Mr. R Dodds Mentor: Mr. Kenzo.

Application of Facial Recognition in Biometric Security Kyle Ferris.

Input Devices. Input devices allow us to enter data into the computer system –Mouse –Keyboard –Graphics Tablet –TrackPad –Touch-sensitive screen - Scanner.

Introduction Processing Verbal Information in Concept Maps How people read concept maps in the context of a semantically meaningful task?

Augmented Reality and 3D modelling Done by Stafford Joemat Supervised by Mr James Connan and Mehrdad Ghaziasgar.

SixthSense Technology Visit to download

Eye-Tracking Devices An Assistive Technology

Mobile eye tracker construction and gaze path analysis By Wen-Hung Liao 廖文宏.

Eye Movement & Reading Awareness lab

Tracking the eyes using a webcam

Eye Movement & Reading Awareness lab

AHED Automatic Human Emotion Detection

System Design Basics IB Computer Science.

Human Computer Interaction (HCI)

Moving The Mouse Pointer Using Eye Gazing

Design AH Computing.

FISH IDENTIFICATION SYSTEM

Senior Capstone Project Gaze Tracking System

Higher School of Economics , Moscow, 2016

What is blue eyes ? aims on creating computational machines that have perceptual and sensory ability like those of human beings. interactive computer.

Specialist hardware devices for physically disabled users

SUSPICIOUS ACTIVITY DETECTION

眼動儀與互動介面設計廖文宏 6/26/2009.

Transp Course 2014 Overview.

AHED Automatic Human Emotion Detection

AHED Automatic Human Emotion Detection

Interactive media.

Tracking the Eyes using a Webcam

Eye-Based Interaction in Graphical Systems: Theory & Practice

FISH IDENTIFICATION SYSTEM

Higher School of Economics , Moscow, 2016

FISH IDENTIFICATION SYSTEM

Higher School of Economics , Moscow, 2016

Presentation transcript:

Student: Ibraheem Frieslaar Supervisor: Mehrdad Ghaziasgar

OVERVIEW INTRODUCTION USER REQUIREMENTS PROPOSED METHODOLOGY LIMITATIONS OF THE SYSTEM

INTRODUCTION Eye ball tracker HCI - creating alternative ways for humans to interact with computers Using the webcam to determine eye gaze location Moving the mouse to that location

USER REQUIREMENTS High Accuracy 32 pixels of the actual location Standard Icon Size

Input Video capture Process Determine eye gaze location[2] Output Movement of the mouse

Limitations of the System One Face at a time Plain face

REFERENCES Eye Gaze Tracking for Human Computer. Interaction. - Heiko Drewes