Device-Free Indoor Activity Recognition System

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 t...

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Bibliographic Details
Published in:Applied sciences 2016-11, Vol.6 (11), p.329-329
Main Authors: Al-qaness, Mohammed, Li, Fangmin, Ma, Xiaolin, Zhang, Yong, Liu, Guo
Format: Article
Language:English
Subjects:
activity recognition
Algorithms
Channels
Classification
CSI
device-free
Feature extraction
Laptop
Line of sight
Localization
Perceptions
Routers
Sensors
Stands
Systems analysis
WiFi
wireless sensing
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Summary: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.
ISSN:2076-3417
2076-3417
DOI:10.3390/app6110329