T . Freeman and Craig D . Weissman
نویسندگان
چکیده
We study how a viewer can control a television set remotely by hand gestures. We address two fundamental issues of gesture{based human{computer interaction: (1) How can one communicate a rich set of commands without extensive user training and memorization of gestures? (2) How can the computer recognize the commands in a complicated visual environment? Our solution to these problems exploits the visual feedback of the television display. The user uses only one gesture: the open hand, facing the camera. He controls the television by moving his hand. On the display, a hand icon appears which follows the user's hand. The user can then move his own hand to adjust various graphical controls with the hand icon. The open hand presents a characteristic image which the computer can detect and track. We perform a normalized correlation of a template hand to the image to analyze the user's hand. A local orientation representation is used to achieve some robustness to lighting variations. We made a prototype of this system using a computer workstation and a television. The graphical overlays appear on the computer screen, although they could be mixed with the video to appear on the television. The computer controls the television set through serial port commands to an electronically controlled remote control. We describe knowledge we gained from building the prototype.
منابع مشابه
HGRIHCI: Hand Gesture Recognition for Intuitive Human Computer Interaction
Gesture Recognition using Computer Vision opens up a whole new frontier in Human-Computer Interaction. Hand gestures are natural, intuitive, and require almost no learning, or remembering whatsoever. The proposed work involves developing a system to translate gestures (predetermined) performed by the user to control the active application on a computer. Viola-Jones Cascade Object Detector with ...
متن کاملACELL August 46/2
JOHN M. PARK,1 ROSALYN M. ADAM,1 CRAIG A. PETERS,1 PAUL D. GUTHRIE,1 ZIJIE SUN,2 MICHAEL KLAGSBRUN,3 AND MICHAEL R. FREEMAN3 1Urologic Laboratory, Department of Urology, 3Laboratory for Surgical Research, Children’s Hospital, and Department of Surgery, Harvard Medical School, Boston, Massachusetts 02115; and 2Departments of Surgery and Genetics, Stanford University School of Medicine, Stanford,...
متن کاملComputer Vision for Interactive Computer Graphics
Computers looking through a camera at people is a potentially powerful technique to facilitate human-computer interaction. The computer can interpret the userś movements, gestures, and glances. Fundamental visual algorithms include tracking, shape recognition, and motion analysis. We describe several vision algorithms for interactive graphics, and present various vision controlled graphics appl...
متن کاملTelevision Control by Hand Gestures
We study how a viewer can control a television set remotely by hand gestures. We address two fundamental issues of gesture{based human{computer interaction: (1) How can one communicate a rich set of commands without extensive user training and memorization of gestures? (2) How can the computer recognize the commands in a complicated visual environment? Our solution to these problems exploits th...
متن کاملDiophantine Inequalities in Function Fields
This paper develops the Bentkus-Götze-Freeman variant of the DavenportHeilbronn method for function fields in order to count Fq[t]-solutions to diagonal Diophantine inequalities in Fq((1/t)).
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1994