BlanketSet - A Clinical Real-World In-Bed Action Recognition and Qualitative Semi-Synchronised Motion Capture Dataset

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2023

Autores

Carmona, J (Autor) Outra; Karacsony, T (Autor) Outra; Cunha, JPS (Autor) FEUP

Ata de Conferência Internacional

Título: 2023 IEEE 7TH PORTUGUESE MEETING ON BIOENGINEERING, ENBENG

Páginas: 116-119

IEEE 7th Portuguese Meeting on Bioengineering (ENBENG)

Porto, PORTUGAL, JUN 22-23, 2023

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00Y-S27

DOI: 10.1109/enbeng58165.2023.10175335

Abstract (EN): Clinical in-bed video-based human motion analysis is a very relevant computer vision topic for several relevant biomedical applications. Nevertheless, the main public large datasets (e.g. ImageNet or 3DPW) used for deep learning approaches lack annotated examples for these clinical scenarios. To address this issue, we introduce BlanketSet, an RGB-IRD action recognition dataset of sequences performed in a hospital bed. This dataset has the potential to help bridge the improvements attained in more general large datasets to these clinical scenarios. Information on how to access the dataset is available at rdm.inesctec.pt/dataset/nis-2022-004.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4