Radar-based soft fall detection using pattern contour vector
The Internet of Things (IoT) technologies reserves a large latent capacity in dealing with the
emerging fall detection problem of elder people. The radar-based IoT methods are …
emerging fall detection problem of elder people. The radar-based IoT methods are …
WI-MOID: Human and Non-Human Motion Discrimination Using WiFi With Edge Computing
Indoor intelligent perception systems have gained significant attention in recent years.
However, accurately detecting human presence can be challenging in the presence of …
However, accurately detecting human presence can be challenging in the presence of …
Harmonics and intermodulation products-based fuzzy logic (HIPBFL) algorithm for vital sign frequency estimation using a UWB radar
F Jing, J Liang, Y Wang, P Chen - Expert Systems with Applications, 2023 - Elsevier
The ultra-wide band (UWB) radar can achieve non-contact measurement of human vital sign
including respiration and heartbeat. This can be applied in the fields of healthcare, security …
including respiration and heartbeat. This can be applied in the fields of healthcare, security …
Elderly care: Using deep learning for multi-domain activity classification
S Li, M Jia, J Le Kernec, S Yang… - … Conference on UK …, 2020 - ieeexplore.ieee.org
Nowadays, health monitoring issues are increasing as the worldwide population is aging. In
this paper, the radar modality is used to classify with radar signature automatically. The …
this paper, the radar modality is used to classify with radar signature automatically. The …
Person identification based on micro-Doppler signatures of sit-to-stand and stand-to-sit movements using a convolutional neural network
K Saho, K Inuzuka, K Shioiri - IEEE Sensors Letters, 2020 - ieeexplore.ieee.org
This letter presents a method for person identification based on sit-to-stand and stand-to-sit
movements using micro-Doppler radar measurements and a convolutional neural network …
movements using micro-Doppler radar measurements and a convolutional neural network …
Radar-based hierarchical human activity classification
Worldwide the ageing population is increasing, and there are new requirements from
governments to keep people at home longer. As a consequence assisted living has been an …
governments to keep people at home longer. As a consequence assisted living has been an …
[PDF][PDF] Leveraging Machine-Vision for Activity Recognition Utilising Indoor Localisation To Support Aging-In-Place
CP Shewell - 2023 - core.ac.uk
This Chapter reviews existing research surrounding technology to promote occupants to live
independently within their own homes for longer. This area of research is commonly known …
independently within their own homes for longer. This area of research is commonly known …
[PDF][PDF] How to optimise detection/recognition with radar sensing and fusion? Comment optimiser la détection/reconnaissance avec la détection radar et la fusion?
J Le Kernec, M Sabrina, N d'Oise - jeanphilippeovarlez.com
Abstract I, Dr Julien Le Kernec, am currently a" Senior Lecturer"(equivalent to MCF in
France) at the University of Glasgow where I carry out teaching, research, and development …
France) at the University of Glasgow where I carry out teaching, research, and development …
FMCW レーダとトランスフォーマを用いた非接触生体センシング及びECG 波形復元
安済練， 戸田大貴， 市毛弘一 - 電子情報通信学会論文誌 B, 2023 - search.ieice.org
本論文では, FMCW レーダで非接触に取得した生体信号に対し, 深層学習モデルの一種である
トランスフォーマを用いた ECG (ElectroCardioGram) 信号の波形復元手法を提案する …
トランスフォーマを用いた ECG (ElectroCardioGram) 信号の波形復元手法を提案する …