Abstract: This paper presents a survey of methods which have been recently proposed for recognizing static hand gestures. These approaches are first summarized and then are assessed based on a common dataset. Because mentioned methods employ different types of input, the survey focuses on stages of feature extraction and classification. Other former steps, such as pre-processing and hand segmentation, are slightly modified. In experiments, this work does not only consider the recognition accuracy but also suggests suitable scenarios for each method according to its advantages and limitations.

Huu-Hung Huynh and Duc-Hoang Vo, “Short Survey on Static Hand Gesture Recognition” International Journal of Advanced Computer Science and Applications(IJACSA), 8(7), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080761

@article{Huynh2017,
title = {Short Survey on Static Hand Gesture Recognition},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080761},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080761},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {7},
author = {Huu-Hung Huynh and Duc-Hoang Vo}
}