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Publication Detailed Description
A review on scaling mobile snsing platformsfor human activity recognition: challenges and recommendations for future research
Journal Title
IoT
Year (definitive publication)
2020
Language
English
Country
Switzerland
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Abstract
Mobile sensing has been gaining ground due to the increasing capabilities of mobileand personal devices that are carried around by citizens, giving access to a large variety of dataand services based on the way humans interact. Mobile sensing brings several advantages interms of the richness of available data, particularly for human activity recognition. Nevertheless,the infrastructure required to support large-scale mobile sensing requires an interoperable design,which is still hard to achieve today. This review paper contributes to raising awareness of challengesfaced today by mobile sensing platforms that perform learning and behavior inference with respect tohuman routines: how current solutions perform activity recognition, which classification models theyconsider, and which types of behavior inferences can be seamlessly provided. The paper providesa set of guidelines that contribute to a better functional design of mobile sensing infrastructures,keeping scalability as well as interoperability in mind.
Acknowledgements
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Keywords
Mobile sensing,Cloud–edge computing,Human behavior,Human behavior inference,Activity recognition,Context awareness
Fields of Science and Technology Classification
- Computer and Information Sciences - Natural Sciences
- Civil Engineering - Engineering and Technology
- Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology
Funding Records
| Funding Reference | Funding Entity |
|---|---|
| UID/MULTI/04111/2019 | Fundação para a Ciência e a Tecnologia |
Contributions to the Sustainable Development Goals of the United Nations
With the objective to increase the research activity directed towards the achievement of the United Nations 2030 Sustainable Development Goals, the possibility of associating scientific publications with the Sustainable Development Goals is now available in Ciência-IUL. These are the Sustainable Development Goals identified by the author(s) for this publication. For more detailed information on the Sustainable Development Goals, click here.
