On the Challenge of Generating Multivariate Time Series Data from Distributed Sensors in IoT-enabled Scenarios
Figure 1: A data loss scenario in a smart IoT environment under a traditional data network setup and an IoT-optimized one for the remote sensing of physiological data and activity tracking of individuals for health monitoring.
Authors
- Jiayuan He (ORCID: https://orcid.org/0000-0002-8994-9532)
- Jose Costa‐Requena (ORCID: https://orcid.org/0000-0001-8775-3707)
- Stephan Sigg (ORCID: https://orcid.org/0000-0001-6118-3355)
- Flora Dilys Salim (ORCID: https://orcid.org/0000-0002-1237-1664)
- Julián Jerónimo Bañuelos (ORCID: https://orcid.org/0000-0003-1842-7320)
Institutions
- UNSW Sydney (AU)
- RMIT University (AU)
- Aalto University (FI)
Publication Details
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1145/3703790.3703809
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- Horizon 2020 Framework Programme