TY  - CONF
N2  - Using gesture for interaction is a notion of natural human computer interaction. The use of gesture requires a correct identification of the intended pose by the system. Already numerous algorithms are working on it but not paying much attention on the complexity. Hence in this paper, a hybrid algorithm is being introduced to reduce the complexity of process also to make it insensitive with respect to the position of camera by making use of Gabor filer to get the structure of the hand followed by the Mel scaling in order to reduce the dimensions along with feature extraction using triangular filters. For the classification purpose Support vector machine has been used as a classifier. © 2012 IEEE.
ID  - scholars2783
VL  - 1
EP  - 542
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867918864&doi=10.1109%2fICCISci.2012.6297304&partnerID=40&md5=2b9ad47e8851bc0c44206d03efbdcf4a
CY  - Kuala Lumpur
KW  - Gabor filer; Hand-gesture recognition; Hybrid algorithms; Mel-frequency cepstral coefficients; Natural human computer interactions
KW  -  Feature extraction; Gabor filters; Gesture recognition; Human computer interaction; Information science; Technology
KW  -  Algorithms
SN  - 9781467319386
SP  - 538
A1  - Gupta, S.
A1  - Jaafar, J.
A1  - Wan Ahmad, W.F.
N1  - cited By 1; Conference of 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 ; Conference Date: 12 June 2012 Through 14 June 2012; Conference Code:93334
AV  - none
Y1  - 2012///
TI  - Hybrid algorithm for hand gesture recognition
ER  -