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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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.
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The underlined context is an FCA terminology and it is different from the one stated in the rest of the paper.
References
Cimiano, P., Hotho, A., Staab, S.: Learning concept hierarchies from text corpora using formal concept analysis. J. Artif. Intell. Res. (JAIR) 24, 305–339 (2005)
Godin, R., Valtchev, P.: Formal concept analysis-based class hierarchy design in object-oriented software development. In: Ganter, B., Stumme, G., Wille, R. (eds.) Formal Concept Analysis. LNCS (LNAI), vol. 3626, pp. 304–323. Springer, Heidelberg (2005)
Pantelopoulos, A., Bourbakis, N.G.: A survey on wearable sensor-based systems for health monitoring and prognosis. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 40(1), 1–12 (2010)
Gurman, M.: This is Healthbook, Apple’s major first step into health & fitness tracking (2014). http://9to5mac.com/2014/03/17/this-is-healthbook-apples-first-major-step-into-health-fitness-tracking/. Accessed 17 March 2014
Barnes, K., Kauffman, V., Connolly, C. (n.d.).: Health wearables: Early days (2014). http://www.pwc.com/en_US/us/health-industries/top-health-industry-issues/assets/pwc-hri-wearable-devices.pdf. Accessed 1 June 2014
Wormuth, B., Becker, P.: Introduction to formal concept analysis. In: 2nd International Conference of Formal Concept Analysis, vol. 23, February 2004
Wan, K.: Lucx: Lucid enriched with context (Doctoral dissertation, Concordia University) (2006)
Schmid, S.M., Hallschmid, M., Jauch-Chara, K., Born, J., Schultes, B.: A single night of sleep deprivation increases ghrelin levels and feelings of hunger in normal-weight healthy men. J. Sleep Res. 17(3), 331–334 (2008)
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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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