Published June 30, 2023
| Version v1
Poster
Open
AI-Assisted Performance Analysis: Deep Learning for Live and Archival Theater
- 1. Stanford University, United States of America
Contributors
Data managers:
Hosting institution:
- 1. University of Graz
- 2. Belgrade Center for Digital Humanities
- 3. Le Mans Université
- 4. Digital Humanities im deutschsprachigen Raum
Description
This project explores computational uses of pose analysis to investigate questions of directorial style and actorly interpretation in theatrical performances. The process involves developing methods to help performing arts scholars and professionals use pose-data models to capture movement from performances, as well as record, analyze, recreate and remix those movements.
Files
Broadwell_AI-Assisted-Performance-Analysis.pdf
Files
(1.8 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:60dbfbd42a9ada5c547012d5fcb3a053
|
1.8 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Conference paper: 10.5281/zenodo.8107855 (DOI)