BlanketSet - A Clinical Real-World In-Bed Action Recognition and Qualitative Semi-Synchronised Motion Capture Dataset
- Resource Type
- Conference
- Authors
- Carmona, Joao; Karacsony, Tamas; Cunha, Joao Paulo Silva
- Source
- 2023 IEEE 7th Portuguese Meeting on Bioengineering (ENBENG) Bioengineering (ENBENG), 2023 IEEE 7th Portuguese Meeting on. :116-119 Jun, 2023
- Subject
- Bioengineering
Deep learning
Bridges
Computer vision
Hospitals
Pose estimation
Epilepsy
Motion capture
Action recognition dataset
RGB-IR-D Video
Motion Capture
Human Pose Estimation
Epilepsy monitoring
Sleep analysis
- Language
- ISSN
- 2771-487X
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-IR-D 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.