Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering

A Hand Direction Vector Extraction Method Based on K Vector and K-medoids Clustering Algorithm

Authors
Hong Duan, Kunyu Cai
Corresponding Author
Hong Duan
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.92How to use a DOI?
Keywords
Hand Direction Vector, K-vector Algorithm, K-medoids Clustering Algorithm
Abstract
This paper proposed a method of computing the hand direction vector. At first, using K-vector method, compute the K-slope of all the points on the contour to get a series of peak point sets; Then, cluster the sets which have been obtained through K-medoids algorithm; At last, detect the pointing direction of each fingertip from the clustering information, and get the hand’s direction by it. The experiment shows that the method achieves the precise positioning of hand direction in palm contours.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccsee.2013.92How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hong Duan
AU  - Kunyu Cai
PY  - 2013/03
DA  - 2013/03
TI  - A Hand Direction Vector Extraction Method Based on K Vector and K-medoids Clustering Algorithm
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.92
DO  - https://doi.org/10.2991/iccsee.2013.92
ID  - Duan2013/03
ER  -