Bridging e-Health and the Internet of Things: The SPHERE Project
Open accessAbstract
There's a widely known need to revise current forms of healthcare provision. Of particular interest are sensing systems in the home, which have been central to several studies. This article presents an overview of this rapidly growing body of work, as well as the implications for machine learning, with an aim of uncovering the gap between the state of the art and the broad needs of healthcare services in ambient assisted living. Most approaches address specific healthcare concerns, which typically result in solutions that aren't able to support full-scale sensing and data analysis for a more generic healthcare service, but the approach in this article differs from seamlessly linking multimodel data-collecting infrastructure and data analytics together in an AAL platform. This article also outlines a multimodality sensor platform with heterogeneous network connectivity, which is under development in the sensor platform for healthcare in a residential environment (SPHERE) Interdisciplinary Research Collaboration (IRC).
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Self-citation
- Authors
- Zhu, N., Diethe, T., Camplani, M., Tao, L., Burrows, A., Twomey, N., Kaleshi, D., Mirmehdi, M., Flach, P., & Craddock, I.
- Affiliations
- University of Bristol (GB)
- ORCID
- Venue
- IEEE Intelligent Systems
- Published
- 2015-07
- Volume
- 30
- Issue
- 4
- Pages
- 39-46
- ISSN
- 1541-1672 (ISSN-L)
- 1941-1294
- OpenAlex
- W1851520833
- Cited by
- 242
- References
- 31
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 15 · 2023: 21 · 2022: 17 · 2021: 34 · 2020: 37 · 2019: 32 · 2018: 27 · 2017: 28 · 2016: 17 · 2015: 6
- FWCI
- 22.87
- Type
- journal article
- Language
- en
- Open access
- Locations
- IEEE Intelligent Systems (publishedVersion)
- Bristol Research (University of Bristol) (publishedVersion, other-oa)
- UWE Research Repository (UWE Bristol) (submittedVersion, cc-by)
- Explore Bristol Research (submittedVersion, other-oa)
- Funders
- Engineering and Physical Sciences Research Council (EP/K031910/1)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Health Professions › Health Information Management › Innovation in Digital Healthcare Systems
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- e-health, Internet of Things, ambient assisted living, healthcare data analytics, Sphere Project, machine learning in healthcare
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