UWB Trajectories and Fine-grained Stop-Move Detection: A Museum Dataset

This collection of datasets captures the visit experience of  a few museum visitors tracked using a UWB localization system. The datasets include: UWB trajectories,  the museum space layout, and  the semantic trajectories derived from segmenting UWB trajectories using various stop-detection methods. Data were collected in the same area at two different times and under two distinct setups, referred to as in-vitro and in-vivo. The in-vitro setup enabled a fully controlled experiment where visitors followed constrained movement patterns, while the in-vivo setup allowed visitors to move freely within the study area.

Datasets are grouped in two directories:

• In Vitro
• In Vivo

Each directory is composed of:

• Original trajectories: Contains a file encompassing all the original WB trajectory data, along with the associated fields required for visualization, analysis, and re-generation of the experiments and results presented in paper [1].
• Ground truth: The true stops are reported.
• SeqScan output, SPD output, KBV output: Each includes the output of the corresponding trajectory segmentation method (SeqScan, SPD, and KBV). These results are reported both as points and as stops, with parameters corresponding to those detailed in Tables 4, 6, 7 and 8 of paper [1]. Furthermore, the in-vivo directory also includes visits data, with parameters reported in Tables 9 and 10 of paper [1].
• Museum objects: Includes the coordinates of the exhibits (POIs) inside the museum. As points in case of in-vitro and as segments in case of in-vivo.