@inproceedings{bf9711e677e840fd9f0ba5a4a6a1129f,
title = "A Robust Method for Hands Gesture Recognition from Egocentric Depth Sensor",
abstract = "We present a method for robust and accurate hand pose recognition from egocentric depth cameras. Our method combines CNN based hand pose estimation and joint locations based hand gesture recognition. In pose estimation stage, we use a hand geometry prior network to estimate the hand pose. In gesture recognition stage, we defined a hand language which based on a set of pre-define basic propositions, obtained by applying four predicate types to the fingers and palm states. The hand language is used to convert the estimated joint location to hand gesture. Our experimental results indicate that the method enables robust and accurate gesture recognition in self-occlusion environment.",
keywords = "CNN, depth image, hand gesture recognition, hand pose estimation",
author = "Ye Bai and Yue Qi",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 8th International Conference on Virtual Reality and Visualization, ICVRV 2018 ; Conference date: 22-10-2018 Through 24-10-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/ICVRV.2018.00015",
language = "英语",
series = "Proceedings - 8th International Conference on Virtual Reality and Visualization, ICVRV 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "40--45",
editor = "Kai Xu and Bin Zhou and Xun Luo and Yanwen Guo",
booktitle = "Proceedings - 8th International Conference on Virtual Reality and Visualization, ICVRV 2018",
address = "美国",
}