This is a human activity recognition dataset with measurements from both mmWave radar and camera sensor. Meanwhile, we set multiple people scenario to mimic more realistic scenes. The other dataset collected in non-LOS(line-of-sight) environment, you can visit https://zenodo.org/record/7096889#.YynBvuhBwQ8 to get it. The mmWave radar sensors used in our experiments are composed of TI IWR6843ISK-ODS, eradar ESRR(corner radar), eradar EMRR(front radar). We appreciate the support of the eradar company, that provides corner radars and front radars for us, you can visit http://en.eradartech.com/ to get more information
The dataset contains complex signals coming from a mmWave FMCW radar system. Signal were acquired du...
Human activity characterization based on gait signatures is important in several applications includ...
As the number of older adults increases worldwide, new paradigms for indoor activity monitoring are ...
This is a supplementary dataset, which is linked to https://zenodo.org/record/7088054#.YyVF3ehBwQ8. ...
Millimetre-wave (mmWave) is an extremely valuable sensing technology for the detection of objects an...
The millimeter-wave (mmWave) radar technology has attracted significant attention because it is susc...
This dataset contains complex signals coming from a mmWave FMCW radar system. Signals were acquired ...
Description: This mmWave Datasets are used for activity verification. It contains two datasets. The...
Over the last decade, the advanced driver assistance system (ADAS) and autonomous driving research h...
The dataset contains complex signals coming from a mmWave FMCW radar system. Signal were acquired du...
In the defence and security domain, camera systems are widely used for surveillance. The major advan...
This bachelor's thesis focuses on fusion of millimetr-wave radar and camera. It proposes appropriate...
A person's mobility can be examined to learn vital details about their health.Non-contact technology...
Recognition of continuous human activities is investigated in unconstrained movement directions usin...
Machine Learning (ML) methods have become state of the art in radar signal processing, particularly ...
The dataset contains complex signals coming from a mmWave FMCW radar system. Signal were acquired du...
Human activity characterization based on gait signatures is important in several applications includ...
As the number of older adults increases worldwide, new paradigms for indoor activity monitoring are ...
This is a supplementary dataset, which is linked to https://zenodo.org/record/7088054#.YyVF3ehBwQ8. ...
Millimetre-wave (mmWave) is an extremely valuable sensing technology for the detection of objects an...
The millimeter-wave (mmWave) radar technology has attracted significant attention because it is susc...
This dataset contains complex signals coming from a mmWave FMCW radar system. Signals were acquired ...
Description: This mmWave Datasets are used for activity verification. It contains two datasets. The...
Over the last decade, the advanced driver assistance system (ADAS) and autonomous driving research h...
The dataset contains complex signals coming from a mmWave FMCW radar system. Signal were acquired du...
In the defence and security domain, camera systems are widely used for surveillance. The major advan...
This bachelor's thesis focuses on fusion of millimetr-wave radar and camera. It proposes appropriate...
A person's mobility can be examined to learn vital details about their health.Non-contact technology...
Recognition of continuous human activities is investigated in unconstrained movement directions usin...
Machine Learning (ML) methods have become state of the art in radar signal processing, particularly ...
The dataset contains complex signals coming from a mmWave FMCW radar system. Signal were acquired du...
Human activity characterization based on gait signatures is important in several applications includ...
As the number of older adults increases worldwide, new paradigms for indoor activity monitoring are ...