Continuous human activity recognition with distributed radar sensor networks and CNN–RNN architectures
Unconstrained human activities recognition with a radar network is considered. A hybrid
classifier combining both convolutional neural networks (CNNs) and recurrent neural …
classifier combining both convolutional neural networks (CNNs) and recurrent neural …
A survey on radar-based continuous human activity recognition
Radar-based human motion and activity recognition is currently a topic of great research
interest, as the aging population increases and older individuals prefer an independent …
interest, as the aging population increases and older individuals prefer an independent …
Robust gait recognition based on deep cnns with camera and radar sensor fusion
In recent years, gait recognition has emerged as an important and promising solution for
human identification. Generally, gait recognition is based on a single type of sensor, such as …
human identification. Generally, gait recognition is based on a single type of sensor, such as …
FMCW radar-based hand gesture recognition using spatiotemporal deformable and context-aware convolutional 5-D feature representation
X Dong, Z Zhao, Y Wang, T Zeng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Recently, frequency-modulated continuous-wave (FMCW) radar-based hand gesture
recognition (HGR) using deep learning has achieved favorable performance. However …
recognition (HGR) using deep learning has achieved favorable performance. However …
Asl trigger recognition in mixed activity/signing sequences for rf sensor-based user interfaces
The past decade has seen great advancements in speech recognition for control of
interactive devices, personal assistants, and computer interfaces. However, deaf and hard-of …
interactive devices, personal assistants, and computer interfaces. However, deaf and hard-of …
[HTML][HTML] Ultra-wideband radar-based indoor activity monitoring for elderly care
In this paper, we propose an unobtrusive method and architecture for monitoring a person's
presence and collecting his/her health-related parameters simultaneously in a home …
presence and collecting his/her health-related parameters simultaneously in a home …
[HTML][HTML] Indoor activity and vital sign monitoring for moving people with multiple radar data fusion
X Yang, X Zhang, Y Ding, L Zhang - Remote Sensing, 2021 - mdpi.com
The monitoring of human activity and vital signs plays a significant role in remote health-
care. Radar provides a non-contact monitoring approach without privacy and illumination …
care. Radar provides a non-contact monitoring approach without privacy and illumination …
Radar sensing in healthcare: Challenges and achievements in human activity classification & vital signs monitoring
Driven by its contactless sensing capabilities and the lack of optical images being recorded,
radar technology has been recently investigated in the context of human healthcare. This …
radar technology has been recently investigated in the context of human healthcare. This …
Open radar initiative: Large scale dataset for benchmarking of micro-doppler recognition algorithms
In this paper, we discuss an" open radar initiative" aimed at promoting the sharing of radar
datasets and a common framework for acquiring data. The framework is based on widely …
datasets and a common framework for acquiring data. The framework is based on widely …
A random forest approach to body motion detection: Multisensory fusion and edge processing
Low-complexity and privacy-respecting human sensing is a challenging task in smart
environments as it requires the orchestration of multiple sensors, low-impact machine …
environments as it requires the orchestration of multiple sensors, low-impact machine …