Wi-Fi CSI-based behavior recognition: From signals and actions to activities

Z Wang, B Guo, Z Yu, X Zhou - IEEE Communications …, 2018 - ieeexplore.ieee.org
Human behavior recognition has been considered as a core technology that can facilitate a
variety of applications. However, accurate detection and recognition of human behavior is …

Device free human gesture recognition using Wi-Fi CSI: A survey

HFT Ahmed, H Ahmad, CV Aravind - Engineering Applications of Artificial …, 2020 - Elsevier
Device-free sensing of human gestures has gained tremendous research attention with the
recent advancements in wireless technologies. Channel State Information (CSI), a metric of …

Ultragesture: Fine-grained gesture sensing and recognition

K Ling, H Dai, Y Liu, AX Liu, W Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the rising of AR/VR technology and miniaturization of mobile devices, gesture
recognition is becoming increasingly popular in the research area of human-computer …

Wi-COVID: A COVID-19 symptom detection and patient monitoring framework using WiFi

F Li, M Valero, H Shahriar, RA Khan, SI Ahamed - Smart Health, 2021 - Elsevier
Abstract The current SARS-CoV-2, better know as COVID-19, has emerged as a serious
pandemic with life-threatening clinical manifestations and a high mortality rate. One of the …

A ubiquitous WiFi-based fine-grained gesture recognition system

H Abdelnasser, K Harras… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
We present WiGest: a system that leverages changes in WiFi signal strength to sense in-air
hand gestures around the user's mobile device. WiGest uses standard WiFi equipment, with …

Uncovering privacy leakage in BLE network traffic of wearable fitness trackers

AK Das, PH Pathak, CN Chuah… - Proceedings of the 17th …, 2016 - dl.acm.org
There has been a tremendous increase in popularity and adoption of wearable fitness
trackers. These fitness trackers predominantly use Bluetooth Low Energy (BLE) for …

Passive indoor localization based on csi and naive bayes classification

Z Wu, Q Xu, J Li, C Fu, Q Xuan… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Passive indoor localization is important. Unlike active localization techniques, it does not
require for users to carry measuring devices, eg, smart phones. Thus, it is widely used in …

Freesense: Indoor human identification with Wi-Fi signals

T Xin, B Guo, Z Wang, M Li, Z Yu… - 2016 IEEE Global …, 2016 - ieeexplore.ieee.org
Human identification plays an important role in human-computer interaction. There have
been numerous methods proposed for human identification (eg, face recognition, gait …

Rnn-based room scale hand motion tracking

W Mao, M Wang, W Sun, L Qiu, S Pradhan… - The 25th Annual …, 2019 - dl.acm.org
Smart speakers allow users to interact with home appliances using voice commands and
are becoming increasingly popular. While voice-based interface is intuitive, it is insufficient …

DiverSense: Maximizing Wi-Fi sensing range leveraging signal diversity

Y Li, D Wu, J Zhang, X Xu, Y Xie, T Gu… - Proceedings of the ACM …, 2022 - dl.acm.org
The ubiquity of Wi-Fi infrastructure has facilitated the development of a range of Wi-Fi based
sensing applications. Wi-Fi sensing relies on weak signal reflections from the human target …