Abstract
The management of wearable device data faces significant challenges due to the limited availability of suitable Application Programming Interfaces (APIs). In response to this issue, we present a pioneering architecture that seamlessly integrates data from commercially available Fitbit wristbands’ sensors and smartphones, resulting in improved data accessibility and advanced linguistic summaries. Our novel approach utilises cutting-edge sensors to efficiently capture and transmit user movement and heart rate data wirelessly to smartphones. A key element of our architecture involves facilitating communication with a central platform via a robust REST API. This enables us to incorporate fuzzy linguistic protoforms, empowering sophisticated data analysis techniques to be employed. Furthermore, we have developed specific applications tailored for both mobile devices and smartwatches, enabling seamless data collection and visualizations. To demonstrate the efficacy and versatility of our proposed architecture, we conducted a comprehensive case study encompassing multiple scenarios. The results of this study affirm the substantial benefits of our approach, showcasing its potential to revolutionise wearable data management and analysis. By providing a scalable and adaptive solution to the current limitations in wearable data management, our work lays the groundwork for further advancements in this field, promising to foster new research and applications in diverse domains.
This work has been partially supported by grant PID2021-127275OB-I00, funded by MCIN/AEI/10.13039/501100011033, and by the ‘ERDF - A way of making Europe’.
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Díaz-Jiménez, D., Medina-Quero, J., Espinilla-Estévez, M. (2023). Unifying Wearable Data: A Novel Architecture Integrating Fitbit Wristbands and Smartphones for Enhanced Data Availability and Linguistic Summaries. In: Bravo, J., Urzáiz, G. (eds) Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023). UCAmI 2023. Lecture Notes in Networks and Systems, vol 841. Springer, Cham. https://doi.org/10.1007/978-3-031-48590-9_13
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