Embodied musicking dataset (clean & complete)
dc.contributor.author | Vear, Craig | |
dc.contributor.other | Benerradi, Johann | |
dc.coverage.spatial | United Kingdom, United States | en_UK |
dc.date.accessioned | 2023-06-15T08:06:33Z | |
dc.date.available | 2023-06-15T08:06:33Z | |
dc.date.issued | 2023-06-15 | |
dc.identifier.uri | https://rdmc.nottingham.ac.uk/handle/internal/10518 | |
dc.description.abstract | Complete and clean dataset from Embodied Musicking project. The original files and project are found at https://github.com/Creative-AI-Research-Group/embodiedMusickingDataset This project aimed to design, develop and demonstrate a unique dataset capturing human creativity from inside the embodied relationships of music performance. The understanding of such a critical and fruitful mesh of environment, embodiment, new goal creation, and human-machine cooperation, will allow this project to cast a new light on the role of embodiment in HDI in music. It gathered physiological and psychological data about the way in which human beings can create and enjoy music performance through their data streams. This dataset aimed to be be the first of its kind to deal with embodied creativity, and will have potential impact upon the fields of realtime performance, game engine integration, companion-bots, healthcare interventions through art, and other interpersonal interaction between people, their data and their machines. Our novel approach of forefronting musicking (over the score) in the process of musical creation will offer new pathways of exploration for those already examining computer models of musical creativity. | en_UK |
dc.language.iso | en | en_UK |
dc.publisher | University of Nottingham | en_UK |
dc.rights | CC-BY | * |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | * |
dc.subject.lcsh | Music -- Performance | en_UK |
dc.subject.lcsh | Data sets | en_UK |
dc.subject.lcsh | Human-computer interaction | en_UK |
dc.subject.lcsh | Creative ability | en_UK |
dc.title | Embodied musicking dataset (clean & complete) | en_UK |
dc.type | Dataset | |
dc.identifier.doi | http://doi.org/10.17639/nott.7309 | |
dc.subject.free | musicking, dataset, embodied, performance | en_UK |
dc.subject.jacs | Creative Arts & Design::Music::Music technology & industry::Creative music technology | en_UK |
dc.subject.lc | Q Science::QA Mathematics::QA 75 Electronic computers. Computer science | en_UK |
dc.subject.lc | M Music and Literature on music::ML Literature of music | en_UK |
dc.date.collection | 2020 | en_UK |
uon.division | University of Nottingham, UK Campus::Faculty of Science::School of Computer Science | en_UK |
uon.funder.controlled | None | en_UK |
uon.datatype | Dataset | en_UK |
uon.collectionmethod | Data collection protocol | en_UK |
Files in this item
This item appears in the following Collection(s)
-
Public Research Data
A collection of research data, held in this repository, that is publicly available, except where individual embargoes apply