Dataset of human gait in a domestic setup collected with an LFMCW MIMO radar
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.
Gait Symmetry Analysis With FMCW MIMO Radar