In-vehicle monitoring by radar: A review

A Gharamohammadi, A Khajepour… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
The proliferation of vehicles and a subsequent increase in traffic accidents have led to a
heightened focus on driving safety. As a result, various researchers have been examining …

Through-the-wall human activity recognition using radar technologies: A review

J Yousaf, S Yakoub, S Karkanawi… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Ultra-wideband radar technology (UWB) has demonstrated its vital role through various
applications in surveillance, search and rescue, health monitoring, and the military. Unlike …

UTIL: An ultra-wideband time-difference-of-arrival indoor localization dataset

W Zhao, A Goudar, X Qiao… - … International Journal of …, 2024 - journals.sagepub.com
Ultra-wideband (UWB) time-difference-of-arrival (TDOA)-based localization has emerged as
a promising, low-cost, and scalable indoor localization solution, which is especially suited …

AReNet: Cascade learning of multibranch convolutional neural networks for human activity recognition

A Boudjema, F Titouna, C Titouna - Multimedia Tools and Applications, 2024 - Springer
Abstract Human Activity Recognition (HAR) has become a crucial area of research, driven
by the advancements in wearable device sensors. HAR finds widespread applications …

Speaker identification using Ultra‐Wideband measurement of voice

H Li, C Tang, S Vishwakarma, Y Ge… - IET Radar, Sonar & …, 2024 - Wiley Online Library
Voice identification is being increasingly adopted in various domains, including security
infrastructures, intelligent home systems, and personalised digital assistants. Notably, it …

Lightweight Multi-Attention Enhanced Fusion Network for Omnidirectional Human Activity Recognition with FMCW Radar

X Li, Y Qiu, Z Deng, X Liu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Human activity recognition (HAR) based on radar has garnered wide interest due to its
privacy-friendly and lighting-independent nature. Despite advancements, challenges like …

Through-Wall Human Activity Recognition with Complex-valued Range–Time–Doppler Feature and Region-Vectorization ConvGRU

L Tang, S Guo, Q Jian, G Cui, L Kong… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, we consider a high-accuracy and low-complexity method for recognizing
human activities behind wall. As the amount of information conveyed by data representation …

PointNet-Transformer Fusion Network for In-Cabin Occupancy Monitoring With mm-Wave Radar

Z **ao, K Ye, G Cui - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Due to the irregular distribution of 3-D point clouds and the random movement of the
passengers, it is difficult to accurately and rapidly determine the passenger occupancy …

Distracted Driver Detection and Driver Rating System using Deep Learning

A Gusain, AS Rawat, M Bohra, I Kumar… - … World Conference on …, 2023 - ieeexplore.ieee.org
The prevalence of driver distraction is on the rise due to the widespread adoption and
complexity of in-vehicle technologies and portable devices. This trend poses a significant …

Distracted driver behavior recognition using modified capsule networks

JA Kadar, MAK Dewi, E Suryawati… - … , Electrical Power, and …, 2023 - mev.brin.go.id
Human activity recognition (HAR) is an increasingly active study field within the computer
vision community. In HAR, driver behavior can be detected to ensure safe travel. Detect …