[HTML][HTML] Hand gestures recognition using radar sensors for human-computer-interaction: A review
Human–Computer Interfaces (HCI) deals with the study of interface between humans and
computers. The use of radar and other RF sensors to develop HCI based on Hand Gesture …
computers. The use of radar and other RF sensors to develop HCI based on Hand Gesture …
Machine learning for healthcare radars: Recent progresses in human vital sign measurement and activity recognition
The unprecedented non-contact, non-invasive, and privacy-preserving nature of radar
sensors has enabled various healthcare applications, including vital sign monitoring, fall …
sensors has enabled various healthcare applications, including vital sign monitoring, fall …
[HTML][HTML] An overview of signal processing techniques for remote health monitoring using impulse radio UWB transceiver
Non-invasive remote health monitoring plays a vital role in epidemiological situations such
as SARS outbreak (2003), MERS (2015) and the recently ongoing outbreak of COVID-19 …
as SARS outbreak (2003), MERS (2015) and the recently ongoing outbreak of COVID-19 …
RadarSense: Accurate recognition of mid-air hand gestures with radar sensing and few training examples
Microwave radars bring many benefits to mid-air gesture sensing due to their large field of
view and independence from environmental conditions, such as ambient light and …
view and independence from environmental conditions, such as ambient light and …
Deep learning approaches for air-writing using single UWB radar
Air-writing is an emerging and promising method for contactless human-machine interaction.
This paper proposes a novel air-writing framework based on a single ultra wide-band radar …
This paper proposes a novel air-writing framework based on a single ultra wide-band radar …
Recent advances in biometrics-based user authentication for wearable devices: A contemporary survey
In recent years, wearable technology is interwoven with our everyday lives because of its
commoditization and comfort. Security and privacy become a big concern as many user …
commoditization and comfort. Security and privacy become a big concern as many user …
[HTML][HTML] IR-UWB radar-based robust heart rate detection using a deep learning technique intended for vehicular applications
This paper deals with robust heart rate detection intended for the in-car monitoring of
people. There are two main problems associated with radar-based heart rate detection …
people. There are two main problems associated with radar-based heart rate detection …
On mitigation of ranging errors for through-the-body NLOS conditions using convolutional neural networks
A UWB-based indoor localization is highly useful in various location-aware applications due
to its high-precision and robustness in obstacles. However, it is still a challenging issue to …
to its high-precision and robustness in obstacles. However, it is still a challenging issue to …
Breathing-based continuous non-intrusive user verification leveraging commodity WiFi
H Dai, J Jiang, J Ma, H Huang… - … of Communications and …, 2022 - ieeexplore.ieee.org
This paper opens up a new pathway of the utility of breathing pattern for user verification. We
demonstrate that it is possible to capture people's breathing pattern leveraging commodity …
demonstrate that it is possible to capture people's breathing pattern leveraging commodity …
[PDF][PDF] Hand Gestures Recognition Using Radar Sensors for Human-Computer-Interaction: A Review. Remote Sens. 2021, 13, 527
Human–Computer Interfaces (HCI) deals with the study of interface between humans and
computers. The use of radar and other RF sensors to develop HCI based on Hand Gesture …
computers. The use of radar and other RF sensors to develop HCI based on Hand Gesture …