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What and Who

Tracking Hands in Action for Gesture-based Computer Input

Srinath Sridhar
MMCI
Promotionskolloquium
AG 2, AG 4, RG1, MMCI  
Public Audience
English

Date, Time and Location

Friday, 16 December 2016
16:00
-- Not specified --
E1 4
019
Saarbrücken

Abstract

This thesis introduces new methods for markerless tracking of the full articulated motion of
hands and for informing the design of gesture-based computer input. Emerging devices such
as smartwatches or virtual/augmented reality glasses are in need of new input devices for
interaction on the move. The highly dexterous human hands could provide an always-on input
capability without the actual need to carry a physical device. First, we present novel methods
to address the hard computer vision-based hand tracking problem under varying number of
cameras, viewpoints, and run-time requirements. Second, we contribute to the design of
gesture-based interaction techniques by presenting heuristic and computational approaches.
The contributions of this thesis allow users to effectively interact with computers through
markerless tracking of hands and objects in desktop, mobile, and egocentric scenarios.

Contact

Ellen Fries
9325 4003
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Ellen Fries, 12/07/2016 10:07 -- Created document.