Self-collected IR-UWB Dataset for Human Activity Recognition

This is a IR-UWB radar dataset for human activity recognition.  The Xethru X4 UWB radar is used for data collection. Five volunteers, including three men and two women are invited to perform six different activities relevant to daily life, including Turn around, Pacing, Jump up, Wave hands, Fall down and Sit & stand. To enhance the variability of the dataset, volunteers were encouraged to perform activities based on their personal routines without adhering to standardized restrictions. Initially, the raw data undergoes a process of noise reduction and clutter suppression. This involves distance selection and elimination of direct current (DC) components. Subsequently, TR feature maps are extracted by segmenting the data using partially overlapping sliding time windows. We also provide a *.csv file for 5-fold cross-validation experiments based on 5 participants.