Hand features extractor using hand contour – a case study
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...
Main Authors: | Antonio Guadalupe Cruz Bautista, José-Joel González-Barbosa, Juan Bautista Hurtado-Ramos, Francisco-Javier Ornelas-Rodriguez, Erick-Alejandro González-Barbosa |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2020-01-01
|
Series: | Automatika |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/00051144.2019.1686568 |
Similar Items
-
Hand-Mouse Interface Using Virtual Monitor Concept for Natural Interaction
by: Changhyun Jeon, et al.
Published: (2017-01-01) -
Leap Motion Sensor for Natural User Interface
by: Nenad Breslauer, et al.
Published: (2019-01-01) -
Combined Hand Gesture — Speech Model for Human Action Recognition
by: Sheng-Tzong Cheng, et al.
Published: (2013-12-01) -
A Four-Stage Mahalanobis-Distance-Based Method for Hand Posture Recognition
by: Dawid Warchoł, et al.
Published: (2023-11-01) -
Real-Time Hand Gesture Recognition using Motion Tracking
by: Chi-Man Pun, et al.
Published: (2011-04-01)