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Fuzzy Protoform for Hyperactive Behaviour Detection Based on Commercial Devices

Author

Listed:
  • Antonio-Pedro Albín-Rodríguez

    (Education and Sports Council, Junta de Andalucía (Regional Government of Andalusia), 23007 Jaén, Spain)

  • Adrián-Jesús Ricoy-Cano

    (Social Work Department, University of Jaén, 23071 Jaén, Spain)

  • Yolanda-María de-la-Fuente-Robles

    (Social Work Department, University of Jaén, 23071 Jaén, Spain)

  • Macarena Espinilla-Estévez

    (Computer Science Department, University of Jaén, 23071 Jaén, Spain)

Abstract

Hyperactive behaviour refers to a person making more movement than expected for his or her age and development, acting impulsively, and being easily distracted. There is a need to encourage early and reliable detection through the proposal of new methodologies and systems in the context of hyperactive behaviour to prevent or lessen related problems and disorders. This paper presents a methodology to compute a fuzzy protoform (a linguistic description) as an estimator for hyperactive behaviour. The proposed methodology is developed in a system called Smart HyBeDe, which integrate non-invasive and commercial wearable devices, such as activity bracelets, in order to capture data streams from inertial measurement units and optical heart rate sensors. The generated data by the wearable device are synchronized with a mobile device to process the fuzzy protoform to inform family members and professionals. Three datasets generated by the wearable device in real contexts are presented. These datasets are used to evaluate the impact of wrist choice for the wearable device, multiple fuzzy temporal windows, different aggregation operators, and relevant linguistic terms to define the fuzzy protoform as an estimator for the hyperactive behaviour. The results, analysed by a hyperactive behaviour expert, show that the proposed protoform is a suitable hyperactive behaviour estimator.

Suggested Citation

  • Antonio-Pedro Albín-Rodríguez & Adrián-Jesús Ricoy-Cano & Yolanda-María de-la-Fuente-Robles & Macarena Espinilla-Estévez, 2020. "Fuzzy Protoform for Hyperactive Behaviour Detection Based on Commercial Devices," IJERPH, MDPI, vol. 17(18), pages 1-24, September.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:18:p:6752-:d:414476
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    References listed on IDEAS

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    1. Taesang Lee & Myeounggon Lee & Changhong Youm & Byungjoo Noh & Hwayoung Park, 2020. "Association between Gait Variability and Gait-Ability Decline in Elderly Women with Subthreshold Insomnia Stage," IJERPH, MDPI, vol. 17(14), pages 1-15, July.
    2. María Dolores Peláez-Aguilera & Macarena Espinilla & María Rosa Fernández Olmo & Javier Medina, 2019. "Fuzzy Linguistic Protoforms to Summarize Heart Rate Streams of Patients with Ischemic Heart Disease," Complexity, Hindawi, vol. 2019, pages 1-11, January.
    3. Zadeh, Lotfi A., 2006. "Generalized theory of uncertainty (GTU)--principal concepts and ideas," Computational Statistics & Data Analysis, Elsevier, vol. 51(1), pages 15-46, November.
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