A New Software Toolset for Recording and Viewing Body Tracking Data
dc.contributor.author | Fietkau, Julian | |
dc.date.accessioned | 2023-08-24T06:24:28Z | |
dc.date.available | 2023-08-24T06:24:28Z | |
dc.date.issued | 2023 | |
dc.description.abstract | While 3D body tracking data has been used in empirical HCI studies for many years now, the tools to interact with it tend to be either vendor-specific proprietary monoliths or single-use tools built for one specific experiment and then discarded. In this paper, we present our new toolset for cross-vendor body tracking data recording, storing, and visualization/playback. Our goal is to evolve it into an open data format along with software tools capable of producing and consuming body tracking recordings in said new format, and we hope to find interested collaborators for this endeavour. | de |
dc.identifier.doi | 10.18420/muc2023-mci-ws13-334 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/42128 | |
dc.publisher | GI | |
dc.relation.ispartof | Mensch und Computer 2023 - Workshopband | |
dc.relation.ispartofseries | Mensch und Computer | |
dc.subject | body tracking | |
dc.subject | pose estimation | |
dc.subject | data visualization | |
dc.subject | visualization software | |
dc.title | A New Software Toolset for Recording and Viewing Body Tracking Data | de |
dc.type | Text/Workshop Paper | |
gi.conference.date | 3.-6. September 2023 | |
gi.conference.location | Rapperswil | |
gi.conference.sessiontitle | MCI-WS13: Methods and Tools for (Semi-)Automated Evaluation in Long-Term In-the-Wild Deployment Studies |
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