Publication details
Visual Exploration of Human Motion Data
| Authors | |
|---|---|
| Year of publication | 2022 |
| Type | Article in Proceedings |
| Conference | 15th International Conference on Similarity Search and Applications (SISAP 2022) |
| MU Faculty or unit | |
| Citation | |
| Web | https://link.springer.com/book/10.1007/978-3-031-17849-8 |
| Doi | http://dx.doi.org/10.1007/978-3-031-17849-8_6 |
| Keywords | Human motion data; Skeleton sequences; Visualization; Multimedia exploration; Explainability of similarity |
| Description | Human motion data are beginning to appear in many application domains, which brings a need to develop user-friendly motion processing applications. One of important open challenges is the presentation of high-dimensional spatio-temporal motion data to end users in a way that is easy to understand and allows fast browsing and exploration of the motion datasets. For many applications such as computer-assisted rehabilitation or motion learning, it is also very desirable to visualize the differences between two motion sequences. In this paper, we present a publicly available software tool that provides the visualization functionality for individual motion sequences, comparison of two motions, and exploration of large motion datasets. |