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

DOI

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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 (ICCSEE 2013)
PB  - Atlantis Press
SP  - 361
EP  - 363
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.92
DO  - 10.2991/iccsee.2013.92
ID  - Duan2013/03
ER  -