IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i18p6752-d414476.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/18/6752/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/18/6752/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Antoaneta Sergueiva, 2013. "Systemic Risk Identification, Modelling, Analysis, and Monitoring: An Integrated Approach," Papers 1310.6486, arXiv.org.
    2. Bohyun Kim & Changhong Youm & Hwayoung Park & Myeounggon Lee & Byungjoo Noh, 2021. "Characteristics of Gait Variability in the Elderly While Walking on a Treadmill with Gait Speed Variation," IJERPH, MDPI, vol. 18(9), pages 1-13, April.
    3. Víctor G. Alfaro García & Anna M. Gil-Lafuente & Gerardo G. Alfaro Calderón, 2015. "A Fuzzy Logic Approach Towards Innovation Measurement," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 9(3), pages 53-71.
    4. 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.
    5. Colubi, Ana & Gonzalez-Rodriguez, Gil, 2007. "Triangular fuzzification of random variables and power of distribution tests: Empirical discussion," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4742-4750, May.
    6. Sandler, U. & Tsitolovsky, L., 2017. "The S-Lagrangian and a theory of homeostasis in living systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 540-553.
    7. R. A. Aliev & O. H. Huseynov & R. Serdaroglu, 2016. "Ranking of Z-Numbers and Its Application in Decision Making," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1503-1519, November.
    8. Pablo Jorge Marcos-Pardo & Noelia González-Gálvez & Gemma María Gea-García & Abraham López-Vivancos & Alejandro Espeso-García & Rodrigo Gomes de Souza Vale, 2020. "Sarcopenia as a Mediator of the Effect of a Gerontogymnastics Program on Cardiorespiratory Fitness of Overweight and Obese Older Women: A Randomized Controlled Trial," IJERPH, MDPI, vol. 17(19), pages 1-15, September.
    9. Myeounggon Lee & Yoonjae Noh & Changhong Youm & Sangjin Kim & Hwayoung Park & Byungjoo Noh & Bohyun Kim & Hyejin Choi & Hyemin Yoon, 2021. "Estimating Health-Related Quality of Life Based on Demographic Characteristics, Questionnaires, Gait Ability, and Physical Fitness in Korean Elderly Adults," IJERPH, MDPI, vol. 18(22), pages 1-18, November.
    10. Coppi, Renato & Gil, Maria A. & Kiers, Henk A.L., 2006. "The fuzzy approach to statistical analysis," Computational Statistics & Data Analysis, Elsevier, vol. 51(1), pages 1-14, November.
    11. Miguel à ngel López-Medina & Macarena Espinilla & Chris Nugent & Javier Medina Quero, 2020. "Evaluation of convolutional neural networks for the classification of falls from heterogeneous thermal vision sensors," International Journal of Distributed Sensor Networks, , vol. 16(5), pages 15501477209, May.
    12. Sandler, U., 2017. "S-Lagrangian dynamics of many-body systems and behavior of social groups: Dominance and hierarchy formation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 218-241.
    13. Miki Sato & Feni Betriana & Ryuichi Tanioka & Kyoko Osaka & Tetsuya Tanioka & Savina Schoenhofer, 2021. "Balance of Autonomic Nervous Activity, Exercise, and Sleep Status in Older Adults: A Review of the Literature," IJERPH, MDPI, vol. 18(24), pages 1-15, December.
    14. Antonio-Pedro Albín-Rodríguez & Yolanda-María De-La-Fuente-Robles & José-Luis López-Ruiz & Ángeles Verdejo-Espinosa & Macarena Espinilla Estévez, 2021. "UJAmI Location: A Fuzzy Indoor Location System for the Elderly," IJERPH, MDPI, vol. 18(16), pages 1-22, August.
    15. Ramos-Guajardo, Ana Belén & Lubiano, María Asunción, 2012. "K-sample tests for equality of variances of random fuzzy sets," Computational Statistics & Data Analysis, Elsevier, vol. 56(4), pages 956-966.
    16. Vorobyev, Oleg, 2009. "Eventology versus contemporary theories of uncertainty," MPRA Paper 13961, University Library of Munich, Germany.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:18:p:6752-:d:414476. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.