A survey on hyperdimensional computing aka vector symbolic architectures, part ii: Applications, cognitive models, and challenges
This is Part II of the two-part comprehensive survey devoted to a computing framework most
commonly known under the names Hyperdimensional Computing and Vector Symbolic …
commonly known under the names Hyperdimensional Computing and Vector Symbolic …
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 …
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 …
Model-based data augmentation applied to deep learning networks for classification of micro-Doppler signatures using FMCW radar
N Rojhani, M Passafiume… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Deep neural networks (DNNs) have become a relevant subject in the classification of radio
frequency signals and remote sensing data. A primary challenge is a tradeoff between …
frequency signals and remote sensing data. A primary challenge is a tradeoff between …
A lightweight multi-scale neural network for indoor human activity recognition based on macro and micro-doppler features
X Yang, W Gao, X Qu, P Yin, H Meng… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Through-the-wall radar (TWR) achieves indoor human activity recognition (HAR) by
extracting Doppler and micro-Doppler features. However, the conventional deep learning …
extracting Doppler and micro-Doppler features. However, the conventional deep learning …
Radar perception in autonomous driving: Exploring different data representations
With the rapid advancements of sensor technology and deep learning, autonomous driving
systems are providing safe and efficient access to intelligent vehicles as well as intelligent …
systems are providing safe and efficient access to intelligent vehicles as well as intelligent …
Testing and enhancing adversarial robustness of hyperdimensional computing
Brain-inspired hyperdimensional computing (HDC), also known as vector symbolic
architecture (VSA), is an emerging “non-von Neumann” computing scheme that imitates …
architecture (VSA), is an emerging “non-von Neumann” computing scheme that imitates …
Boosting Robust Multi-focus Image Fusion with Frequency Mask and Hyperdimensional Computing
Multi-focus image fusion (MFIF) creates an image from different source images with various
sensors or optical settings as the devices can't focus all objects at different distances. Most of …
sensors or optical settings as the devices can't focus all objects at different distances. Most of …
基于时频域特征融合的IR-UWB 穿墙雷达人体行为识别方法.
杨德贵， 许道峰 - Systems Engineering & Electronics, 2024 - search.ebscohost.com
冲激脉冲(impulseradio, IR) 超宽带(ultra wideband, UWB) 穿墙雷达因其良好的穿透性和距离
分辨率在穿墙人体行为识别领域具有重要作用, 但是常规识别方法仅采用单域特征对行为模式 …
分辨率在穿墙人体行为识别领域具有重要作用, 但是常规识别方法仅采用单域特征对行为模式 …
Fast sar image recognition via hyperdimensional computing using monogenic mapping
Y Yao, W Liu, G Zhang, W Hu… - IEEE Geoscience and …, 2022 - ieeexplore.ieee.org
Due to the integration and miniaturization trend of low-cost radar, how to realize fast
synthetic aperture radar (SAR) image recognition on devices with strictly limited …
synthetic aperture radar (SAR) image recognition on devices with strictly limited …