Publicação
Motion capture for artists using AI apps
| Resumo: | Motion capture based on Artificial Intelligence (AI) represents a significant advancement in the capture and manipulation of human motion, providing a more accessible approach to generate lifelike animations. Traditionally, motion capture has been employed to produce realistic character movements for film and video games. However, its applications extend beyond figurative representation, enabling the mapping of motion onto diverse visual forms in various contexts, such as artistic installations and live performances. Traditional motion capture systems are costly, limiting accessibility for artists. AI-driven motion capture has democratized this technology, enabling innovative and abstract visual explorations. A key question arises: do AI-based motion capture tools produce meaningful results in diverse artistic contexts? This paper compares low-cost AI motion capture solutions, to evaluate their potential for artistic applications, through quantitative and qualitative analyses. Motion capture data from these AI solutions were used to generate abstract and non-representational visual interpretations. |
|---|---|
| Autores principais: | Leite, Luis Barbosa |
| Assunto: | Artificial intelligence Motion capture Performance animation Media arts |
| Ano: | 2025 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | unknown |
| Instituição associada: | Universidade Católica Portuguesa |
| Idioma: | inglês |
| Origem: | Journal of Science and Technology of the Arts |
| _version_ | 1863896969748938752 |
|---|---|
| author | Leite, Luis Barbosa |
| author_facet | Leite, Luis Barbosa |
| author_role | author |
| country_str | PT |
| creators_json_str | [{\"Person.name\":\"Leite, Luis Barbosa\"}] |
| datacite.creators.creator.creatorName.fl_str_mv | Leite, Luis Barbosa |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Artificial intelligence Motion capture Performance animation Media arts |
| datacite.titles.title.fl_str_mv | Motion capture for artists using AI apps |
| dc.creator.none.fl_str_mv | Leite, Luis Barbosa |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://doi.org/10.34632/jsta.2025.17630 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Universidade Católica Portuguesa |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.source.none.fl_str_mv | Journal of Science and Technology of the Arts; Vol. 17 No. 1 (2025): Creative Digital Intelligence; 101-121 Journal of Science and Technology of the Arts; Vol. 17 N.º 1 (2025): Creative Digital Intelligence; 101-121 2183-0088 1646-9798 10.34632/jsta.2025.17.1 |
| dc.subject.none.fl_str_mv | Artificial intelligence Motion capture Performance animation Media arts |
| dc.title.fl_str_mv | Motion capture for artists using AI apps |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | Motion capture based on Artificial Intelligence (AI) represents a significant advancement in the capture and manipulation of human motion, providing a more accessible approach to generate lifelike animations. Traditionally, motion capture has been employed to produce realistic character movements for film and video games. However, its applications extend beyond figurative representation, enabling the mapping of motion onto diverse visual forms in various contexts, such as artistic installations and live performances. Traditional motion capture systems are costly, limiting accessibility for artists. AI-driven motion capture has democratized this technology, enabling innovative and abstract visual explorations. A key question arises: do AI-based motion capture tools produce meaningful results in diverse artistic contexts? This paper compares low-cost AI motion capture solutions, to evaluate their potential for artistic applications, through quantitative and qualitative analyses. Motion capture data from these AI solutions were used to generate abstract and non-representational visual interpretations. |
| dirty | 0 |
| eu_rights_str_mv | unknown |
| format | article |
| id | citar_35bd6cd2d2f34e2c0ba4ecdd3bfe2d6e |
| identifier.doi.fl_str_mv | https://doi.org/10.34632/jsta.2025.17630 |
| instacron_str | ucp |
| institution | Universidade Católica Portuguesa |
| instname_str | Universidade Católica Portuguesa |
| language | eng |
| network_acronym_str | citar |
| network_name_str | Journal of Science and Technology of the Arts |
| oai_identifier_str | oai:ojs.revistas.ucp.pt:article/17630 |
| organization_str_mv | urn:organizationAcronym:ucp |
| person_str_mv | Leite, Luis Barbosa |
| publishDate | 2025 |
| publisher.none.fl_str_mv | Universidade Católica Portuguesa |
| reponame_str | Journal of Science and Technology of the Arts |
| repository_id_str | urn:repositoryAcronym:citar |
| service_str_mv | urn:repositoryAcronym:citar |
| spelling | en-USMotion capture for artists using AI appsLeite, Luis BarbosaArtificial intelligenceMotion capturePerformance animationMedia artsCopyright (c) 2025 Luis Barbosa Leitehttp://purl.org/coar/access_right/c_abf2http://creativecommons.org/licenses/by/4.0https://doi.org/10.34632/jsta.2025.17630DOIhttps://revistas.ucp.pt/index.php/jsta/article/view/17630URLHasVersionhttps://revistas.ucp.pt/index.php/jsta/article/view/17630/17169URLHasVersionhttps://doi.org/10.34632/jsta.2025.17630DOI2025-07-29en-USMotion capture based on Artificial Intelligence (AI) represents a significant advancement in the capture and manipulation of human motion, providing a more accessible approach to generate lifelike animations. Traditionally, motion capture has been employed to produce realistic character movements for film and video games. However, its applications extend beyond figurative representation, enabling the mapping of motion onto diverse visual forms in various contexts, such as artistic installations and live performances. Traditional motion capture systems are costly, limiting accessibility for artists. AI-driven motion capture has democratized this technology, enabling innovative and abstract visual explorations. A key question arises: do AI-based motion capture tools produce meaningful results in diverse artistic contexts? This paper compares low-cost AI motion capture solutions, to evaluate their potential for artistic applications, through quantitative and qualitative analyses. Motion capture data from these AI solutions were used to generate abstract and non-representational visual interpretations.Universidade Católica Portuguesaapplication/pdfen-USJournal of Science and Technology of the Arts; Vol. 17 No. 1 (2025): Creative Digital Intelligence; 101-121pt-PTJournal of Science and Technology of the Arts; Vol. 17 N.º 1 (2025): Creative Digital Intelligence; 101-1212183-00881646-979810.34632/jsta.2025.17.1engjournal articlehttp://purl.org/coar/resource_type/c_6501literatureVoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85 |
| spellingShingle | Motion capture for artists using AI apps Leite, Luis Barbosa Artificial intelligence Motion capture Performance animation Media arts |
| status_str | VoR |
| subject.fl_str_mv | Artificial intelligence Motion capture Performance animation Media arts |
| title | Motion capture for artists using AI apps |
| title_full | Motion capture for artists using AI apps |
| title_fullStr | Motion capture for artists using AI apps |
| title_full_unstemmed | Motion capture for artists using AI apps |
| title_short | Motion capture for artists using AI apps |
| title_sort | Motion capture for artists using AI apps |
| topic | Artificial intelligence Motion capture Performance animation Media arts |
| topic_facet | Artificial intelligence Motion capture Performance animation Media arts |
| url | https://doi.org/10.34632/jsta.2025.17630 |
| visible | 1 |