A survey on deep learning for human activity recognition

F Gu, MH Chung, M Chignell, S Valaee… - ACM Computing …, 2021 - dl.acm.org
Human activity recognition is a key to a lot of applications such as healthcare and smart
home. In this study, we provide a comprehensive survey on recent advances and challenges …

Device-free wireless localization and activity recognition: A deep learning approach

J Wang, X Zhang, Q Gao, H Yue… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Device-free wireless localization and activity recognition (DFLAR) is a new technique, which
could estimate the location and activity of a target by analyzing its shadowing effect on …

Wi‐Fi sensing: applications and challenges

A Khalili, AH Soliman, M Asaduzzaman… - The Journal of …, 2020 - Wiley Online Library
Wi‐Fi technology has strong potentials in indoor and outdoor sensing applications; it has
several important features which makes it an appealing option compared to other sensing …

The telepathic phone: Frictionless activity recognition from wifi-rssi

S Sigg, U Blanke, G Tröster - 2014 IEEE international …, 2014 - ieeexplore.ieee.org
We investigate the use of WiFi Received Signal Strength Information (RSSI) at a mobile
phone for the recognition of situations, activities and gestures. In particular, we propose a …

Device-free radio vision for assisted living: Leveraging wireless channel quality information for human sensing

S Savazzi, S Sigg, M Nicoli, V Rampa… - IEEE Signal …, 2016 - ieeexplore.ieee.org
Wireless propagation is conventionally considered as the enabling tool for transporting
information in digital communications. However, recent research has shown that the …

Leveraging RF-channel fluctuation for activity recognition: Active and passive systems, continuous and RSSI-based signal features

S Sigg, S Shi, F Buesching, Y Ji, L Wolf - Proceedings of International …, 2013 - dl.acm.org
We consider the recognition of activities from passive entities by analysing radio-frequency
(RF)-channel fluctuation. In particular, we focus on the recognition of activities by active …

Practical device-free gesture recognition using WiFi signals based on metalearning

X Ma, Y Zhao, L Zhang, Q Gao, M Pan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Device-free gesture recognition (DFGR) is a promising sensing technique, which can
recognize a gesture by analyzing its influence on surrounding wireless signals. Most of the …

Device-free simultaneous wireless localization and activity recognition with wavelet feature

J Wang, X Zhang, Q Gao, X Ma… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Device-Free simultaneous wireless Localization and Activity Recognition (DFLAR) is a
promising novel technique that empowers wireless networks with the ability to perceive the …

Real world user model: Evolution of user modeling triggered by advances in wearable and ubiquitous computing: State of the art and future directions

F Cena, S Likavec, A Rapp - Information systems frontiers, 2019 - Springer
Over the last few years, user modeling scenery is changing. With the recent advancements
in ubiquitous and wearables technologies, the amount and type of data that can be gathered …

Device-free identification using intrinsic CSI features

J Wang, Y Zhao, X Fan, Q Gao, X Ma… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Device-free identification (DFI) is a promising technique, which could recognize human
identity using his/her unique influence on surrounding wireless signals in a device-free and …