Generalization of LOngitudinal BEhavior Modeling
GLOBEM is a platform to accelerate cross-dataset generalization research in the longitudinal behavior modeling domain.
GLOBEM aims to achieve the following goals:
- 📦 Release the first multi-year longitudinal passive sensing dataset with ~500 unique participants
- 🧰 Implement a series of longitudinal behavior modeling algorithms
- 🔍 Prepare a series of cross-dataset generalization evaluation tasks
- 🏅 Present the algorithms' generalizability benchmark on the GLOBEM datasets
- 🔋 Enable researchers and developers to develop new algorithms with easy-to-extend templates
Datasets →
Multi-year passive mobile sensing datasets & well-being metrics.
Platform →
Generalizability evaluation platform and benchmark.
Publications →
Relevant publications based on the GLOBEM datasets and platform.
Team →
UW-EXP Team & Contributors. Contact us for any questions.