A survey on human behavior recognition using channel state information
Z Wang, K Jiang, Y Hou, W Dou, C Zhang… - Ieee …, 2019 - ieeexplore.ieee.org
Recently, device-free human behavior recognition has become a hot research topic and has
achieved significant progress in the field of ubiquitous computing. Among various …
achieved significant progress in the field of ubiquitous computing. Among various …
Deep learning for radio-based human sensing: Recent advances and future directions
While decade-long research has clearly demonstrated the vast potential of radio frequency
(RF) for many human sensing tasks, scaling this technology to large scenarios remained …
(RF) for many human sensing tasks, scaling this technology to large scenarios remained …
Data augmentation and dense-LSTM for human activity recognition using WiFi signal
Recent research has devoted significant efforts on the utilization of WiFi signals to recognize
various human activities. An individual's limb motions in the WiFi coverage area could …
various human activities. An individual's limb motions in the WiFi coverage area could …
Utilizing deep learning models in CSI-based human activity recognition
E Shalaby, N ElShennawy, A Sarhan - Neural Computing and Applications, 2022 - Springer
In recent years, channel state information (CSI) in WiFi 802.11 n has been increasingly used
to collect data pertaining to human activity. Such raw data are then used to enhance human …
to collect data pertaining to human activity. Such raw data are then used to enhance human …
Device free human gesture recognition using Wi-Fi CSI: A survey
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 …
recent advancements in wireless technologies. Channel State Information (CSI), a metric of …
An end-to-end deep learning framework for recognizing human-to-human interactions using Wi-Fi signals
Channel state information (CSI)-based human activity recognition plays an essential role in
various application domains, such as security, healthcare, and Internet of Things. Most …
various application domains, such as security, healthcare, and Internet of Things. Most …
A fast deep learning technique for Wi-Fi-based human activity recognition
Despite recent advances, fast and reliable Human Activity Recognition in confined space is
still an open problem related to many real-world applications, especially in health and …
still an open problem related to many real-world applications, especially in health and …
Deep-Risk: Deep Learning-Based Mortality Risk Predictive Models for COVID-19
The SARS-CoV-2 virus has proliferated around the world and caused panic to all people as
it claimed many lives. Since COVID-19 is highly contagious and spreads quickly, an early …
it claimed many lives. Since COVID-19 is highly contagious and spreads quickly, an early …
Adversarial WiFi sensing for privacy preservation of human behaviors
Recent research on WiFi sensing focuses on the identification of a wide range of human
behaviors with high recognition accuracy. However, these well-studied recognition …
behaviors with high recognition accuracy. However, these well-studied recognition …
Classifying motorcyclist behaviour with XGBoost based on IMU data
G Navratil, I Giannopoulos - Sensors, 2024 - mdpi.com
Human behaviour detection is relevant in many fields. During navigational tasks it is an
indicator for environmental conditions. Therefore, monitoring people while they move along …
indicator for environmental conditions. Therefore, monitoring people while they move along …