Percorrer por autor "Estadieu, Gerald"
A mostrar 1 - 3 de 3
Resultados por página
Opções de ordenação
- ARTeFACTo 2022. 3rd International Conference on Digital Creation in Arts, Media and Technology: Emerging Extended Realities: conference proceedingsPublication . Estadieu, Gerald; Abreu, Filipa Martins de; Caires, Carlos Sena; Marcos, AdéritoBook of Proceedings of 3rd International Conference on Digital Creation in Arts, Media and Technology – Emerging Extended Realities (ARTeFACTo 2022 Macao), held on 24, 25 Nov. 2022 at Ilha Verde campus, University of Saint Joseph, Macau.
- Editorial PrefacePublication . Marcos, Adérito; Caires, Carlos Sena; Estadieu, Gerald; Mendes, Daniel; Rodrigues, NunoThis annual issue embraces articles from three sets of sources: the first covers the topic Virtual Environments and Interaction Design Research at the University of Saint Joseph, Macao SAR, China works selected and guest edited by Carlos Sena Caires and Gerald Estadieu; the second set are three extended articles from the International Conference on Graphics and Interaction (ICGI’2021), selected and guest edited by Daniel Mendes and Nuno Rodrigues; and, finally, two articles from the regular pipeline.
- Static recording apparatus for soundscape analysis in MacauPublication . Estadieu, Gerald; Cheung, Y. Y.; Pestana, Pedro Duarte; Barbosa, ÁlvaroThe concept of Soundscape was initially proposed to study the relationship between humans and their sonic environment. It has gathered momentum from academia to environmentalists and policymakers throughout the years. The study and characterisation of Soundscapes can be complex as it tries to take a holistic and qualitative approach rather than simply quantifying sound pressure levels. This paper introduces a comprehensive Soundscape study process in an ongoing research project in Macao (China), a small territory (32.9 km2) and one of the most densely populated areas in the world. The paper seeks to show a first version of a technical solution to systematically capture the local soundscape, analyse it, classify it, and ultimately deliver a dataset library and the intangible qualities of the environmental sound. This implementation, including technical documentation, code, and sound library with strong labelling, is presented under an open-source license to encourage future collaborative research. Finally, the paper offers suggestions on further developing the apparatus to reach a systematic and near real-time soundscape analysis with the development of a machine learning system.
