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Statistical Study of User Perception of Smart Homes during Vital Signal Monitoring with an Energy-Saving Algorithm

Author

Listed:
  • Carolina Del-Valle-Soto

    (Facultad de Ingeniería, Universidad Panamericana, Álvaro del Portillo 49, Zapopan 45010, Mexico
    These authors contributed equally to this work.)

  • Juan Arturo Nolazco-Flores

    (School of Engineering and Science, Tecnológico de Monterrey, Monterrey 64849, Mexico
    These authors contributed equally to this work.)

  • Jose Alberto Del Puerto-Flores

    (Facultad de Ingeniería, Universidad Panamericana, Álvaro del Portillo 49, Zapopan 45010, Mexico)

  • Ramiro Velázquez

    (Facultad de Ingeniería, Universidad Panamericana, Josemaría Escrivá de Balaguer 101, Aguascalientes 20290, Mexico)

  • Leonardo J. Valdivia

    (Facultad de Ingeniería, Universidad Panamericana, Álvaro del Portillo 49, Zapopan 45010, Mexico)

  • Julio Rosas-Caro

    (Facultad de Ingeniería, Universidad Panamericana, Álvaro del Portillo 49, Zapopan 45010, Mexico)

  • Paolo Visconti

    (Department of Innovation Engineering, University of Salento, 73100 Lecce, Italy)

Abstract

Sensor networks are deployed in people’s homes to make life easier and more comfortable and secure. They might represent an interesting approach for elderly care as well. This work highlights the benefits of a sensor network implemented in the homes of a group of users between 55 and 75 years old, which encompasses a simple home energy optimization algorithm based on user behavior. We analyze variables related to vital signs to establish users’ comfort and tranquility thresholds. We statistically study the perception of security that users exhibit, differentiating between men and women, examining how it affects the person’s development at home, as well as the reactivity of the sensor algorithm, to optimize its performance. The proposed algorithm is analyzed under certain performance metrics, showing an improvement of 15% over a sensor network under the same conditions. We look at and quantify the usefulness of accurate alerts on each sensor and how it reflects in the users’ perceptions (for men and women separately). This study analyzes a simple, low-cost, and easy-to-implement home-based sensor network optimized with an adaptive energy optimization algorithm to improve the lives of older adults, which is capable of sending alerts of possible accidents or intruders with the highest efficiency.

Suggested Citation

  • Carolina Del-Valle-Soto & Juan Arturo Nolazco-Flores & Jose Alberto Del Puerto-Flores & Ramiro Velázquez & Leonardo J. Valdivia & Julio Rosas-Caro & Paolo Visconti, 2022. "Statistical Study of User Perception of Smart Homes during Vital Signal Monitoring with an Energy-Saving Algorithm," IJERPH, MDPI, vol. 19(16), pages 1-29, August.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:16:p:9966-:d:886791
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    References listed on IDEAS

    as
    1. Kim, Suwon & Kim, Seongcheol, 2018. "User preference for an IoT healthcare application for lifestyle disease management," Telecommunications Policy, Elsevier, vol. 42(4), pages 304-314.
    2. Cutchin, Malcolm P., 2003. "The process of mediated aging-in-place: a theoretically and empirically based model," Social Science & Medicine, Elsevier, vol. 57(6), pages 1077-1090, September.
    3. Auerswald, Philip, 2020. "Healthcare to the Home: Enabling Distributed Health Service Delivery by Removing Barriers to Entrepreneurial Exploration," Working Papers 10274, George Mason University, Mercatus Center.
    4. A. A. Zaidan & B. B. Zaidan & M. Y. Qahtan & O. S. Albahri & A. S. Albahri & Mussab Alaa & F. M. Jumaah & Mohammed Talal & K. L. Tan & W. L. Shir & C. K. Lim, 2018. "A survey on communication components for IoT-based technologies in smart homes," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 69(1), pages 1-25, September.
    5. Amir Khorram-Manesh & Maxim A. Dulebenets & Krzysztof Goniewicz, 2021. "Implementing Public Health Strategies—The Need for Educational Initiatives: A Systematic Review," IJERPH, MDPI, vol. 18(11), pages 1-21, May.
    6. Sovacool, Benjamin K. & Furszyfer Del Rio, Dylan D., 2020. "Smart home technologies in Europe: A critical review of concepts, benefits, risks and policies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
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    Cited by:

    1. Carolina Del-Valle-Soto & Leonardo J. Valdivia & Juan Carlos López-Pimentel & Paolo Visconti, 2023. "Comparison of Collaborative and Cooperative Schemes in Sensor Networks for Non-Invasive Monitoring of People at Home," IJERPH, MDPI, vol. 20(7), pages 1-22, March.
    2. Andrzej Ożadowicz, 2023. "Technical, Qualitative and Energy Analysis of Wireless Control Modules for Distributed Smart Home Systems," Future Internet, MDPI, vol. 15(9), pages 1-21, September.

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