WhoLoDancE: Deliverable 3.5 - Report on data-driven and model-driven analysis methodologies
| Main Authors: | Camurri, Antonio, Piana, Stefano, Alborno, Paolo, Kolykhalova, Ksenia, De Giorgis, Nikolas, Buccoli, Michele, Zanoni, Massimiliano |
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| Format: | Report publication-deliverable Journal |
| Bahasa: | eng |
| Terbitan: |
, 2017
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/1135189 |
Daftar Isi:
- This deliverable summarizes the description of the development of techniques adopted for multimodal analysis of dance at both individual and group levels, data-driven, and model-driven analysis. Section 1 introduces the report and lists its objectives whereas Section 2 refers to the methodology employed in the data-driven approach. Section 3 provides an overview of developed model-driven approaches to extract movement dimensions related to the dance-learning scenario: from low-level model-based movement dimension to more complex intra- and inter- network related methodologies, including a technique to automatically segment dance sequences in meaningful chunks.