A CSI-based human activity recognition using deep learning
The Internet of Things (IoT) has become quite popular due to advancements in Information
and Communications technologies and has revolutionized the entire research area in …
and Communications technologies and has revolutionized the entire research area in …
Human activity recognition using CSI information with nexmon
J Schäfer, BR Barrsiwal, M Kokhkharova, H Adil… - Applied Sciences, 2021 - mdpi.com
Using Wi-Fi IEEE 802.11 standard, radio frequency waves are mainly used for
communication on various devices such as mobile phones, laptops, and smart televisions …
communication on various devices such as mobile phones, laptops, and smart televisions …
Wi-Fi Sensing Techniques for Human Activity Recognition: Brief Survey, Potential Challenges, and Research Directions
Recent advancements in wireless communication technologies have made Wi-Fi signals
indispensable in both personal and professional settings. The utilization of these signals for …
indispensable in both personal and professional settings. The utilization of these signals for …
Fedpos: A federated transfer learning framework for csi-based wi-fi indoor positioning
This article proposes FedPos, a federated transfer learning framework together with a novel
position estimation method for Wi-Fi indoor positioning. Compared with traditional machine …
position estimation method for Wi-Fi indoor positioning. Compared with traditional machine …
A CSI dataset for wireless human sensing on 80 MHz Wi-Fi channels
In the last years, several machine learning-based techniques have been proposed to
monitor human movements from Wi-Fi channel readings. However, the development of …
monitor human movements from Wi-Fi channel readings. However, the development of …
CNN-based device-free health monitoring and prediction system using WiFi signals
A Kumar, S Singh, V Rawal, S Garg, A Agrawal… - International Journal of …, 2022 - Springer
Health monitoring has been a growing area of interest in recent times. It provides many
beforehand benefits including early detection of potentially harmful illnesses. Till now, it has …
beforehand benefits including early detection of potentially harmful illnesses. Till now, it has …
Optimal AI Model Splitting and Resource Allocation for Device-Edge Co-Inference in Multi-User Wireless Sensing Systems
With recent advancements in artificial intelligence (AI), wireless sensing has recently been
accepted as an attractive solution to enable accurate detection of human activities by …
accepted as an attractive solution to enable accurate detection of human activities by …
Painless machine learning approach to estimate blood glucose level with non-invasive devices
A glucose concentration ranging from 72–134 to 111–330 mg/dL is used to represent a non-
diabetic/diabetic patient. It is observed that diabetes damages the eyes, kidneys and nerves …
diabetic/diabetic patient. It is observed that diabetes damages the eyes, kidneys and nerves …
Contactless Respiration Monitoring using Wi-Fi and Artificial Neural Network Detection Method
Detecting respiration in a non-intrusive manner is beneficial not only for convenience but
also for cases where the traditional ways cannot be applied. This paper presents a novel …
also for cases where the traditional ways cannot be applied. This paper presents a novel …
Channel state information based device free wireless sensing for IoT devices employing TinyML
The channel state information (CSI) of the sub-carriers employed in orthogonal frequency
division multiplexing (OFDM) systems has been employed traditionally for channel …
division multiplexing (OFDM) systems has been employed traditionally for channel …