Dataset of human gait in a domestic setup collected with an LFMCW MIMO radar

doi:10.4121/7cfe7f4f-e8ef-4a06-8359-ca5831e22810.v2
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/7cfe7f4f-e8ef-4a06-8359-ca5831e22810
Datacite citation style:
(2024): Dataset of human gait in a domestic setup collected with an LFMCW MIMO radar. Version 2. 4TU.ResearchData. software. https://doi.org/10.4121/7cfe7f4f-e8ef-4a06-8359-ca5831e22810.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software
Delft University of Technology logo
categories
keywords
time coverage
01/08/2024-30/09/2024
licence
cc-by-nc.png logo CC BY-NC 4.0
by

Radar technology is a strong candidate to analyze human gait. This dataset contains gait captures of 60 healthy individuals in a laboratory emulating a domestic scenario. The data is captured with the 24 GHz LFMCW MIMO radar Inras RadarBook 2 and with the Microsoft Azure Kinect camera. All the measurements are recorded with the approval of the ethics committee of TU Delft, under the project DARE-NERD. For further information regarding the radar and the Kinect configuration, and the experiment conditions, please refer to an article currently submitted for review.

The dataset contains a ".zip" file for each participant with:

  • 3 ".mat" files, corresponding to each trial performed by the subject. Each file contains the radar data in the variable "tima_data". The dimensions are (fast time) x (slow time) x (channel index). Moreover, the radar configuration is contained in the variable "Ana".
  • 3 ".csv" files, corresponding to each trial performed by the subject. Each file contains the 32 joint locations extracted with the Microsoft Azure Kinect camera for each time frame.
  • A ".csv" file with the time shifts that need to be applied to the Kinect data to synchronize it with the radar data.

Moreover, the dataset provides

  • An ".xlsx" file containg the identifier, gender, age, height, weight and shoe size of each participant.
  • A matlab script to extract the radar data from the ".mat" file.
  • A matlab script to extract the joint data from the ".csv" file.


The authors would like to thank the participants in the experiment for their availability.

history
  • 2024-10-25 first online
  • 2024-10-30 published, posted
publisher
4TU.ResearchData
format
Radar files: ".mat"; Kinect joint files: ".csv"
organizations
Information Processing and Telecommunications Center, Universidad Politécnica de Madrid
Microwave Sensing, Signals and Systems (MS3) Group, Delft University of Technology

DATA