[HTML][HTML] Human activity recognition based on continuous-wave radar and bidirectional gate recurrent unit

J Zhou, C Sun, K Jang, S Yang, Y Kim - Electronics, 2023 - mdpi.com
The technology for human activity recognition has diverse applications within the Internet of
Things spectrum, including medical sensing, security measures, smart home systems, and …

[HTML][HTML] Human Activity Recognition Based on Deep Learning and Micro-Doppler Radar Data

TH Tan, JH Tian, AK Sharma, SH Liu, YF Huang - Sensors, 2024 - mdpi.com
Activity recognition is one of the significant technologies accompanying the development of
the Internet of Things (IoT). It can help in recording daily life activities or reporting …

Deep convolutional autoencoder for radar-based classification of similar aided and unaided human activities

MS Seyfioğlu, AM Özbayoğlu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Radar-based activity recognition is a problem that has been of great interest due to
applications such as border control and security, pedestrian identification for automotive …

Human activity classification with radar signal processing and machine learning

M Jia, S Li, J Le Kernec, S Yang… - … conference on UK …, 2020 - ieeexplore.ieee.org
As the number of older adults increases worldwide, new paradigms for indoor activity
monitoring are required to keep people living at home independently longer. Radar-based …

Lightweight deep learning model in mobile-edge computing for radar-based human activity recognition

J Zhu, X Lou, W Ye - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Radar-based human activity recognition (HAR) has great potential in many fields, such as
surveillance, smart homes, and human-computer interaction. Complex deep neural …

Continuous human activity classification from FMCW radar with Bi-LSTM networks

A Shrestha, H Li, J Le Kernec… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Recognition of human movements with radar for ambient activity monitoring is a developed
area of research that yet presents outstanding challenges to address. In real environments …

RadarSpecAugment: A simple data augmentation method for radar-based human activity recognition

D She, X Lou, W Ye - IEEE Sensors Letters, 2021 - ieeexplore.ieee.org
In this letter, a simple data augmentation method for micro-Doppler radar-based human
activity recognition (HAR) is proposed. The proposed augmentation method can improve the …

Passive Radar Sensing for Human Activity Recognition: A Survey

F Savvidou, SA Tegos… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Continuous and unobtrusive monitoring of daily human activities in homes can potentially
improve the quality of life and prolong independent living for the elderly and people with …

High-precision human activity classification via radar micro-doppler signatures based on deep neural network

J Li, X Chen, G Yu, X Wu, J Guan - IET International Radar …, 2020 - ieeexplore.ieee.org
Radar-based human activity recognition has been of great interest due to its capability to
resolve problems of the security and health system. Deep learning-based methods are …

Recognition of Human Activity from ECG and IMU Signals Using Deep Learning Networks

S Mekruksavanich, P Jantawong… - 2022 IEEE Region 10 …, 2022 - ieeexplore.ieee.org
Human activity recognition (HAR) is becoming more significant in various industrial
applications, including medical consideration and rehabilitation monitoring. With the rapid …