A survey of indoor localization systems and technologies

F Zafari, A Gkelias, KK Leung - IEEE Communications Surveys …, 2019 - ieeexplore.ieee.org
Indoor localization has recently witnessed an increase in interest, due to the potential wide
range of services it can provide by leveraging Internet of Things (IoT), and ubiquitous …

Wireless sensing for human activity: A survey

J Liu, H Liu, Y Chen, Y Wang… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
With the advancement of wireless technologies and sensing methodologies, many studies
have shown the success of re-using wireless signals (eg, WiFi) to sense human activities …

CSI-based fingerprinting for indoor localization: A deep learning approach

X Wang, L Gao, S Mao, S Pandey - IEEE transactions on …, 2016 - ieeexplore.ieee.org
With the fast-growing demand of location-based services in indoor environments, indoor
positioning based on fingerprinting has attracted significant interest due to its high accuracy …

Widar2. 0: Passive human tracking with a single Wi-Fi link

K Qian, C Wu, Y Zhang, G Zhang, Z Yang… - Proceedings of the 16th …, 2018 - dl.acm.org
This paper presents Widar2. 0, the first WiFi-based system that enables passive human
localization and tracking using a single link on commodity off-the-shelf devices. Previous …

A survey on behavior recognition using WiFi channel state information

S Yousefi, H Narui, S Dayal, S Ermon… - IEEE Communications …, 2017 - ieeexplore.ieee.org
In this article, we present a survey of recent advances in passive human behavior
recognition in indoor areas using the channel state information (CSI) of commercial WiFi …

Spotfi: Decimeter level localization using wifi

M Kotaru, K Joshi, D Bharadia, S Katti - … of the 2015 ACM conference on …, 2015 - dl.acm.org
This paper presents the design and implementation of SpotFi, an accurate indoor
localization system that can be deployed on commodity WiFi infrastructure. SpotFi only uses …

Understanding and modeling of wifi signal based human activity recognition

W Wang, AX Liu, M Shahzad, K Ling, S Lu - Proceedings of the 21st …, 2015 - dl.acm.org
Some pioneer WiFi signal based human activity recognition systems have been proposed.
Their key limitation lies in the lack of a model that can quantitatively correlate CSI dynamics …

Gait recognition using wifi signals

W Wang, AX Liu, M Shahzad - … of the 2016 ACM international joint …, 2016 - dl.acm.org
In this paper, we propose WifiU, which uses commercial WiFi devices to capture fine-grained
gait patterns to recognize humans. The intuition is that due to the differences in gaits of …

Precise power delay profiling with commodity WiFi

Y Xie, Z Li, M Li - Proceedings of the 21st Annual international …, 2015 - dl.acm.org
Power delay profiles characterize multipath channel features, which are widely used in
motion-or localization-based applications. Recent studies show that the power delay profile …

WiDeep: WiFi-based accurate and robust indoor localization system using deep learning

M Abbas, M Elhamshary, H Rizk… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
Robust and accurate indoor localization has been the goal of several research efforts over
the past decade. Due to the ubiquitous availability of WiFi indoors, many indoor localization …