Channel state information from pure communication to sense and track human motion: A survey
Human motion detection and activity recognition are becoming vital for the applications in
smart homes. Traditional Human Activity Recognition (HAR) mechanisms use special …
smart homes. Traditional Human Activity Recognition (HAR) mechanisms use special …
Patient activity recognition using radar sensors and machine learning
Indoor human activity recognition is actively studied as part of creating various intelligent
systems with applications in smart home and office, smart health, internet of things, etc …
systems with applications in smart home and office, smart health, internet of things, etc …
Passive WiFi radar for human sensing using a stand-alone access point
Human sensing using WiFi signal transmissions is attracting significant attention for future
applications in e-healthcare, security, and the Internet of Things (IoT). The majority of WiFi …
applications in e-healthcare, security, and the Internet of Things (IoT). The majority of WiFi …
Vid2doppler: Synthesizing doppler radar data from videos for training privacy-preserving activity recognition
Millimeter wave (mmWave) Doppler radar is a new and promising sensing approach for
human activity recognition, offering signal richness approaching that of microphones and …
human activity recognition, offering signal richness approaching that of microphones and …
DeFall: Environment-independent passive fall detection using WiFi
Fall is recognized as one of the most frequent accidents among elderly people. Many
solutions, either wearable or noncontact, have been proposed for fall detection (FD) …
solutions, either wearable or noncontact, have been proposed for fall detection (FD) …
Location-and person-independent activity recognition with WiFi, deep neural networks, and reinforcement learning
In recent years, Channel State Information (CSI) measured by WiFi is widely used for human
activity recognition. In this article, we propose a deep learning design for location-and …
activity recognition. In this article, we propose a deep learning design for location-and …
HuMAn: Complex activity recognition with multi-modal multi-positional body sensing
Current state-of-the-art systems in the literature using wearables are not capable of
distinguishing a large number of fine-grained and/or complex human activities, which may …
distinguishing a large number of fine-grained and/or complex human activities, which may …
Midas: Generating mmwave radar data from videos for training pervasive and privacy-preserving human sensing tasks
Millimeter wave radar is a promising sensing modality for enabling pervasive and privacy-
preserving human sensing. However, the lack of large-scale radar datasets limits the …
preserving human sensing. However, the lack of large-scale radar datasets limits the …
CSI-ratio-based doppler frequency estimation in integrated sensing and communications
Estimating the Doppler frequency is an important part of sensing moving targets in
integrated sensing and communications (ISAC) systems, such as human tracking and …
integrated sensing and communications (ISAC) systems, such as human tracking and …
Teaching rf to sense without rf training measurements
In this paper, we propose a novel, generalizable, and scalable idea that eliminates the need
for collecting Radio Frequency (RF) measurements, when training RF sensing systems for …
for collecting Radio Frequency (RF) measurements, when training RF sensing systems for …