Research output per year
Research output per year
Abstract
The HuMoLs dataset consists of 101 videos capturing a single human subject in a motionless state. The dataset can used for motion detection in healthcare monitoring settings, or other experiments.
The dataset is designed to aid in detecting inactivity or loss of consciousness in various scenarios.
To preserve anonymity, each volunteer's face has been deepfaked. Each frame may have a slightly different face.
The dataset can be used freely, but you must cite:
OPPH: A Vision-Based Operator for Measuring Body Movements for Personal Healthcare. Longfei Chen, Subramanian Ramamoorthy, Robert B Fisher. Proc. ECCV workshop/ACVR, 2024.
The dataset is designed to aid in detecting inactivity or loss of consciousness in various scenarios.
To preserve anonymity, each volunteer's face has been deepfaked. Each frame may have a slightly different face.
The dataset can be used freely, but you must cite:
OPPH: A Vision-Based Operator for Measuring Body Movements for Personal Healthcare. Longfei Chen, Subramanian Ramamoorthy, Robert B Fisher. Proc. ECCV workshop/ACVR, 2024.
| Date made available | 20 Aug 2024 |
|---|---|
| Publisher | Edinburgh DataShare |
| Geographical coverage | UNITED KINGDOM,UK |
Research output
- 1 Conference contribution
-
OPPH: A vision-based operator for measuring body movements for personal healthcare
Chen, L., Ramamoorthy, S. & Fisher, R. B., 14 Aug 2024, (Accepted/In press) Computer Vision – ECCV 2024. 1 ed. Springer, p. 1-15 15 p. (Lecture Notes in Computer Science (LNCS)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile