Abstract
Data collected from wearable devices form basis for assessment, analysis, and predictions. It is used in various fields of study such as health and education to improve status, define goals, and measure progress. Currently, there is no formal model used to define relationships among goals in a particular wearable system. Therefore, this paper proposes a novel approach based on context information and Formal Concept Analysis theory for modeling an entire problem domain using lattice theory. The resulted model shows the conceptual structure, different layers of abstractions, and hierarchical relations between wearable devices, collected data, defined goals, and predicted results. The structure is prerequisite for any further analysis.
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Notes
- 1.
GymGoal2, Jawbone UP, Google Fit, 7 Minute Workout, MyFitnessPal, Amwell, MyNetDiary, Diet Assistant, Endomondo, Fitness Body, Fitoracy, Fooducate, JEFIT workout, Instant Heart Rate, Run Keeper, Ideal Weight, Daily Burn, Charge HR, Nike + Running, Weight Watcher Mobile.
- 2.
The underlined context is an FCA terminology and it is different from the one stated in the rest of the paper.
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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Alsaig, A., Mohammad, M., Alsaig, A. (2016). Enhancing Wearable Systems by Introducing Context-Awareness and FCA. In: Vinh, P., Alagar, V. (eds) Context-Aware Systems and Applications. ICCASA 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 165. Springer, Cham. https://doi.org/10.1007/978-3-319-29236-6_26
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DOI: https://doi.org/10.1007/978-3-319-29236-6_26
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