DocumentCode :
1799517
Title :
Gesture viewport: Interacting with media content using finger gestures on any surface
Author :
Hao Tang ; Chiu, Pi-Feng ; Qiong Liu
Author_Institution :
FX Palo Alto Lab., Inc. (FXPAL), Palo Alto, CA, USA
fYear :
2014
fDate :
14-18 July 2014
Firstpage :
1
Lastpage :
2
Abstract :
In this paper, we describe Gesture Viewport, a projector-camera system that enables finger gesture interactions with media content on any surface. We propose a novel and computationally efficient finger localization method based on the detection of occlusion patterns inside a virtual sensor grid rendered in a layer on top of a viewport widget. We develop several robust interaction techniques to prevent unintentional gestures from occurring, to provide visual feedback to a user, and to minimize the interference of the sensor grid with the media content. We show the effectiveness of the system through three scenarios: viewing photos, navigating Google Maps, and controlling Google Street View.
Keywords :
cameras; gesture recognition; object detection; optical projectors; user interfaces; Google Maps navigation; Google street view control; finger gesture interactions; finger localization method; gesture viewport; interference minimization; media content interaction; occlusion pattern detection; projector-camera system; robust interaction techniques; sensor grid; viewing photos; viewport widget; virtual sensor grid; visual feedback; Cameras; Fingers; Google; Interference; Media; Presses; Visualization; Projector-camera system; finger gesture interaction; viewport;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo Workshops (ICMEW), 2014 IEEE International Conference on
Conference_Location :
Chengdu
ISSN :
1945-7871
Type :
conf
DOI :
10.1109/ICMEW.2014.6890618
Filename :
6890618
Link To Document :
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