@inproceedings{f270061e2a754e00abf71d8d5e6391c9,
title = "A hand gesture recognition system based on 24GHz radars",
abstract = "This paper presented a gesture recognition system for human-computer interaction based on 24GHz radars. We describe this system designed for frequently used gesture detection like hand pushing, hand pulling, hand lifting and hand shaking. Decision tree was established to classify these original signals into the four sets of gestures. Through a set of tests on this gesture-recognition system, we proposed that this system could achieve an overall accuracy rate higher than 92\%.",
keywords = "24GHz radar, decision tree, gesture recognition",
author = "Shengchang Lan and Zonglong He and Haoyu Tang and Kai Yao and Wenshuang Yuan",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 International Symposium on Antennas and Propagation, ISAP 2017 ; Conference date: 30-10-2017 Through 02-11-2017",
year = "2017",
month = dec,
day = "19",
doi = "10.1109/ISANP.2017.8228827",
language = "英语",
series = "2017 International Symposium on Antennas and Propagation, ISAP 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--2",
booktitle = "2017 International Symposium on Antennas and Propagation, ISAP 2017",
address = "美国",
}