TY - JOUR
T1 - Hand features extractor using hand contour–a case study
AU - Cruz Bautista, Antonio Guadalupe
AU - González-Barbosa, José Joel
AU - Hurtado-Ramos, Juan Bautista
AU - Ornelas-Rodriguez, Francisco Javier
AU - González-Barbosa, Erick Alejandro
N1 - Publisher Copyright:
© 2019, © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2020/1/2
Y1 - 2020/1/2
N2 - Hand gesture recognition is an important topic in natural user interfaces (NUI). Hand features extraction is the first step for hand gesture recognition. This work proposes a novel real time method for hand features recognition. In our framework we use three cameras and the hand region is extracted with the background subtraction method. Features like arm angle and fingers positions are calculated using Y variations in the vertical contour image. Wrist detection is obtained by calculating the bigger distance from a base line and the hand contour, giving the main features for the hand gesture recognition. Experiments on our own data-set of about 1800 images show that our method performs well and is highly efficient.
AB - Hand gesture recognition is an important topic in natural user interfaces (NUI). Hand features extraction is the first step for hand gesture recognition. This work proposes a novel real time method for hand features recognition. In our framework we use three cameras and the hand region is extracted with the background subtraction method. Features like arm angle and fingers positions are calculated using Y variations in the vertical contour image. Wrist detection is obtained by calculating the bigger distance from a base line and the hand contour, giving the main features for the hand gesture recognition. Experiments on our own data-set of about 1800 images show that our method performs well and is highly efficient.
KW - Hand
KW - NUI
KW - fingers
KW - gesture
KW - recognition
UR - http://www.scopus.com/inward/record.url?scp=85074973427&partnerID=8YFLogxK
U2 - 10.1080/00051144.2019.1686568
DO - 10.1080/00051144.2019.1686568
M3 - Artículo
AN - SCOPUS:85074973427
SN - 0005-1144
VL - 61
SP - 99
EP - 108
JO - Automatika
JF - Automatika
IS - 1
ER -