DSP Based Gesture Recognition

Pranit Kalantri, Shraddha Shah, Sanjay T. Gandhe

Abstract


 Gesture Recognition lies at the core of augmented realitybased devices. This project tries to coalesce two disparate aspects ofengineering which are image processing and embedded systems. Theproject aims at developing and algorithm for recognizing staticgestures using deterministic techniques and implementing thesealgorithms on an embedded platform. The first part of the projectdeals with the development of the algorithm.The underlying principle of the gesture recognition is singular valuedecomposition and normalized distances. These concepts are used incomparison and classification of query gestures with databasegestures. Principal Component Analysis is used for dimensionalityreduction and ease of calculations. Image processing techniques areused prior to computation to achieve background, illumination andscale invariant images. The database comprises of such preprocessedimages stored with varying orientations. The other part of the projectdeals with setup of an embedded platform for the compilation andimplementation of the algorithms. A DSP based board is configuredto interface a camera and input devices. Software setup is done tosupport graphics and OpenCV. Compilation of the programs writtenfrom the algorithms is carried out on the board. Thus, the projectaims at standalone implementation of gesture recognition which setsthe foundation for portable augmented reality.

Full Text:

PDF

References


Hardy Francke, Javier Ruiz

-

del

-

Solar and Rodrigo Verschae Department of Electrical Engineering, Universidad de Chile, Realtime Hand Gesture Detection

and Recognition using Boosted Classifiers and Active Learning, Department of Electrical Engineering, Universidad de Chile.

X. Zabulisy, H. Baltzakisy, A. Argyroszy, Vision

-

based Hand Gesture

Recognition for Human

-

Computer Interaction,Institute of Computer Science

Foundation for Research and Technology

-

Hellas Heraklion, Crete, Greec

e

Computer Science Department, University of Crete Heraklion, Crete, Grece.

Tin Hninn Hninn Maung, Real

-

Time Hand Tracking and Gesture

Recognition System Using Neural Networks, Department of Engineering

Physics, Mandalay Technological University, Manda

lay, Myanmar.

DevKit8000 Evaluation Kit manual.

Daniel Herrington, Easy Image Processing:Camera Interfacing for Robotics.

MATLAB Image Processing Toolbox 7.0 manual.

Author Mark Billinghurst, Gesture Based Interaction, Book:

Haptic.

K.M

.M. Rao,Overview of Image Processing , Deputy Director, NRSA,

Hyderabad

-

037.

Lindsay I Smith,A tutorial on Principal Components Analysis, February 26,

P.Raghavan, Amol Lad and Sriram Neelakandan,Embedded linux System

Design and Developm

ent,1st. Indian reprint,New York:Auerbach

publications,2007.

Karim Yaghmour,Jon Masters,Gilad Ben

-

Yossef and Philippe Gerum,

Building Embedded Linux Systems,2nd. ed.,Beijing:OReilly,August 2008.

(2004, July). David MaCullough, Embedded (2nd Ed.)

[Online], Available:

http://www.linuxjournal.com/article/7221

(2008,Aug.).Ryan McDonald and Edo Lui,uClinux FAQ

[Online].,Available:

http://www.uclinux.org/pub/uClinux/FAQ.shtl

.

Leonid Ryzhyk , ARM Architecture Reference Manual 2nd

edition,Australia,June 2006.

Embedded Linux Development with Debian for ARM by Roland Stigge

Published 10 October 2007.

Real Time concepts for

Embedded Systems,Qing Li and Caroline Yao.


Refbacks

  • There are currently no refbacks.


 

Copyright © IJETT, International Journal on Emerging Trends in Technology