作者
Mustafa S. Aljumaily, Ghaida A. Al-Suhail
发表日期
2017/7/12
期刊
International Journal of Pervasive Computing and Communications
卷号
13
期号
4
页码范围
408-418
出版商
Emerald Publishing Limited
简介
Purpose
Recently, many researches have been devoted to studying the possibility of using wireless signals of the Wi-Fi networks in human-gesture recognition. They focus on classifying gestures despite who is performing them, and only a few of the previous work make use of the wireless channel state information in identifying humans. This paper aims to recognize different humans and their multiple gestures in an indoor environment.
Design/methodology/approach
The authors designed a gesture recognition system that consists of channel state information data collection, preprocessing, features extraction and classification to guess the human and the gesture in the vicinity of a Wi-Fi-enabled device with modified Wi-Fi-device driver to collect the channel state information, and process it in real time.
Findings
The proposed system proved to work well for different humans and different gestures with an accuracy that …
学术搜索中的文章
MS Aljumaily, GA Al-Suhail - International Journal of Pervasive Computing and …, 2017