Touchless screen human-computer interaction using face and fingertip detection
By: Abadiano, Shelly Mae
Publisher: Cebu City ; CIT-U ; 2011DDC classification: T Ab14 2011 Summary: Shelly Mae Abadiano,Shelene Sanchez, Department of Computer Studies, College of Computer Studies,Cebu City; March 09, 2011, Touch less Screen Human- Computer Interaction Using Face and Fingertip Detection Human and Computer Interaction have been widely used nowadays. Some of them are implemented in such a way that the user has a total contact of the hardware to effectively interact with the computer. In this study, we implemented an instance of HCI that would make the user interact with the Graphics Device Interface, which is a ball, without using any touch screens. The input is a video which is captured in a real time using a built-in laptop camera. The user may bounce the ball using his head or move the ball around using the user's index fingertip. The study makes use of face detection algorithm implemented in EmguCV library which uses her cascade classifier and index fingertip tracking using background subtraction, contour detection and k- curvature computation.| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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Shelly Mae Abadiano,Shelene Sanchez, Department of Computer Studies, College of Computer Studies,Cebu City; March 09, 2011, Touch less Screen Human- Computer Interaction Using Face and Fingertip Detection
Human and Computer Interaction have been widely used nowadays. Some of them are implemented in such a way that the user has a total contact of the hardware to effectively interact with the computer. In this study, we implemented an instance of HCI that would make the user interact with the Graphics Device Interface, which is a ball, without using any touch screens. The input is a video which is captured in a real time using a built-in laptop camera. The user may bounce the ball using his head or move the ball around using the user's index fingertip. The study makes use of face detection algorithm implemented in EmguCV library which uses her cascade classifier and index fingertip tracking using background subtraction, contour detection and k- curvature computation.
000-099
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