A survey on deep learning for human activity recognition
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 …
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
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 …
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 …
several important features which makes it an appealing option compared to other sensing …
The telepathic phone: Frictionless activity recognition from wifi-rssi
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 …
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
Wireless propagation is conventionally considered as the enabling tool for transporting
information in digital communications. However, recent research has shown that the …
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
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 …
(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
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 …
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
Device-Free simultaneous wireless Localization and Activity Recognition (DFLAR) is a
promising novel technique that empowers wireless networks with the ability to perceive the …
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
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 …
in ubiquitous and wearables technologies, the amount and type of data that can be gathered …
Device-free identification using intrinsic CSI features
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 …
identity using his/her unique influence on surrounding wireless signals in a device-free and …