Device-Free Indoor Activity Recognition System

被引：20

作者：

Al-qaness, Mohammed Abdulaziz Aide ^{[1
,2
]}

Li, Fangmin ^{[1
,2
,3
]}

Ma, Xiaolin ^{[1
,2
]}

Zhang, Yong ^{[1
,2
]}

Liu, Guo ^{[1
,2
]}

机构：

[1] Wuhan Univ Technol, Minist Educ, Key Lab Fiber Opt Sensing Technol & Informat Proc, Wuhan 430070, Peoples R China

[2] Wuhan Univ Technol, Sch Informat Engn, Wuhan 430070, Peoples R China

[3] Changsha Univ, Dept Math & Comp Sci, Changsha 410022, Hunan, Peoples R China

来源：

APPLIED SCIENCES-BASEL | 2016年 / 6卷 / 11期

基金：

中国国家自然科学基金;

关键词：

activity recognition; device-free; CSI; wireless sensing; WiFi; LOCALIZATION;

D O I：

10.3390/app6110329

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

In this paper, we explore the properties of the Channel State Information (CSI) of WiFi signals and present a device-free indoor activity recognition system. Our proposed system uses only one ubiquitous router access point and a laptop as a detection point, while the user is free and neither needs to wear sensors nor carry devices. The proposed system recognizes six daily activities, such as walk, crawl, fall, stand, sit, and lie. We have built the prototype with an effective feature extraction method and a fast classification algorithm. The proposed system has been evaluated in a real and complex environment in both line-of-sight (LOS) and none-line-of-sight (NLOS) scenarios, and the results validate the performance of the proposed system.

引用

页数：13

共 25 条

[1]

Abdelnasser H, 2015, 2015 IEEE C COMP COM, P1472, DOI [10.1109/INFOCOM.2015.7218525, DOI 10.1109/INFOCOM.2015.7218525]

[2]

Al-qaness Mohammed Abdulaziz Aide, 2016, International Journal of Future Computer and Communication, V5, P180, DOI 10.18178/ijfcc.2016.5.4.468

[3] WiGeR: WiFi-Based Gesture Recognition System [J].