A wireless approach to device-free localisation (DFL) for indoor environments

2011 ◽  
Author(s):  
P.J. Vance ◽  
G. Prasad ◽  
J. Harkin ◽  
K. Curran
Keyword(s):  
Indoor Environments ◽  
Device Free

Designing a Compact Wireless Network Based Device-Free Passive Localisation System for Indoor Environments

2018 ◽  
pp. 1424-1439
Author(s):  
Philip Vance ◽  
Girijesh Prasad ◽  
Jim Harkin ◽  
Kevin Curran
Keyword(s):  
Assisted Living ◽  
Ambient Assisted Living ◽  
Design Procedure ◽  
The Elderly ◽  
Healthcare Services ◽  
Indoor Environments ◽  
Signal Processing Technique ◽  
Minimum Number ◽  
The Individual ◽  
Device Free

Determining the location of individuals within indoor locations can be useful in various scenarios including security, gaming and ambient assisted living for the elderly. Healthcare services globally are seeking to allow people to stay in their familiar home environments longer due to the multitude of benefits associated with living in non-clinical environments and technologies to determine an individual's movements are key to ensuring that home emergencies are detected through lack of movement can be responded to promptly. This paper proposes a device-free localisation (DFL) system which would enable the individual to proceed with normal daily activities without the concern of having to wear a traceable device. The principle behind this is that the human body absorbs/reflects the radio signal being transmitted from a transmitter to one or more receiving stations. The proposed system design procedure facilitates the use of a minimum number of wireless nodes with the help of a principle component analysis (PCA) based intelligent signal processing technique. Results demonstrate that human detection and tracking are possible to within 1m resolution with a minimal hardware infrastructure.

scholarly journals Device Free Localisation Techniques in Indoor Environments

2019 ◽  
Vol 69 (4) ◽  
pp. 378-388 ◽  
Author(s):  
K S Anusha ◽  
Ramachandran Ramanathan ◽  
M Jayakumar
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Location Estimation ◽  
Wireless Sensor ◽  
Ultrasonic Frequency ◽  
Indoor Environments ◽  
Research Directions ◽  
Positioning Systems ◽  
Potential Benefits ◽  
Device Free

The location estimation of a target for a long period was performed only by device based localisation technique which is difficult in applications where target especially human is non-cooperative. A target was detected by equipping a device using global positioning systems, radio frequency systems, ultrasonic frequency systems, etc. Device free localisation (DFL) is an upcoming technology in automated localisation in which target need not equip any device for identifying its position by the user. For achieving this objective, the wireless sensor network is a better choice due to its growing popularity. This paper describes the possible categorisation of recently developed DFL techniques using wireless sensor network. The scope of each category of techniques is analysed by comparing their potential benefits and drawbacks. Finally, future scope and research directions in this field are also summarised.

scholarly journals A Robust Passive Intrusion Detection System with Commodity WiFi Devices

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Enjie Ding ◽  
Xiansheng Li ◽  
Tong Zhao ◽  
Lei Zhang ◽  
Yanjun Hu
Keyword(s):  
Intrusion Detection ◽  
Motion Detection ◽  
Detection System ◽  
Free Motion ◽  
Indoor Environments ◽  
Channel State ◽  
Detection Techniques ◽  
Novel Approach ◽  
Average Accuracy ◽  
Device Free

In recent years, due to the rapidly growing capacities of physical layer, device-free passive detection holds great importance for a broad range of application. Most recent works focus on motion detection, intrusion detection, and vital sign with commodity WiFi devices in the indoor environment. Conventional device-free motion detection techniques, which utilize received signal strength (RSS), may suffer from coarse granularity and high variability problems. In resorting to the finer-grained channel state information (CSI), we propose PhaseMode, a novel approach for device-free motion detection leveraging CSI phase difference data between adjacent antenna pairs. We implement our approach on commercial WiFi devices and validate its performance. We conduct experiments in different test periods of three indoor environments; the results show that the proposed scheme achieves an average accuracy over 99.4% of motion detection in different scenarios.

scholarly journals An Analysis of Device-Free and Device-Based WiFi-Localization Systems

2014 ◽  
Vol 6 (1) ◽  
pp. 1-19 ◽  
Author(s):  
Heba Aly ◽  
Moustafa Youssef
Keyword(s):  
Indoor Localization ◽  
Indoor Environments ◽  
Factors Affecting ◽  
Localization System ◽  
Finger Print ◽  
Area Of Interest ◽  
Crowd Effect ◽  
Wifi Localization ◽  
Technology Upgrade ◽  
Device Free

WiFi-based localization became one of the main indoor localization techniques due to the ubiquity of WiFi connectivity. However, indoor environments exhibit complex wireless propagation characteristics. Typically, these characteristics are captured by constructing a fingerprint map for the different locations in the area of interest. This finger print requires significant overhead in manual construction, and thus has been one of the major drawbacks of WiFi-based localization. In this paper, the authors present an automated tool for finger print constructions and leverage it to study novel scenarios for device-based and device-free WiFi-based localization that are difficult to evaluate in a real environment. In a particular, the authors examine the effect of changing the access points (AP) mounting location, AP technology upgrade, crowd effect on calibration and operation, among others; on the accuracy of the localization system. The authors present the analysis for the two classes of WiFi-based localization: device-based and device-free. The authors analysis highlights factors affecting the localization system accuracy, how to tune it for better localization, and provides insights for both researchers and practitioners.

Designing a Compact Wireless Network based Device-free Passive Localisation System for Indoor Environments

2015 ◽  
Vol 4 (2) ◽  
pp. 28-43 ◽  
Author(s):  
Philip Vance ◽  
Girijesh Prasad ◽  
Jim Harkin ◽  
Kevin Curran
Keyword(s):  
Assisted Living ◽  
Ambient Assisted Living ◽  
Design Procedure ◽  
The Elderly ◽  
Healthcare Services ◽  
Processing Technique ◽  
Human Detection ◽  
Indoor Environments ◽  
Signal Processing Technique ◽  
Device Free

Determining the location of individuals within indoor locations can be useful in various scenarios including security, gaming and ambient assisted living for the elderly. Healthcare services globally are seeking to allow people to stay in their familiar home environments longer due to the multitude of benefits associated with living in non-clinical environments and technologies to determine an individual's movements are key to ensuring that home emergencies are detected through lack of movement can be responded to promptly. This paper proposes a device-free localisation (DFL) system which would enable the individual to proceed with normal daily activities without the concern of having to wear a traceable device. The principle behind this is that the human body absorbs/reflects the radio signal being transmitted from a transmitter to one or more receiving stations. The proposed system design procedure facilitates the use of a minimum number of wireless nodes with the help of a principle component analysis (PCA) based intelligent signal processing technique. Results demonstrate that human detection and tracking are possible to within 1m resolution with a minimal hardware infrastructure.

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