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Outdoor Alzheimer’s Patients Tracking Using an IoT System and a Kalman Filter Estimator

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Abstract

Alzheimer’s Disease is a degenerative neurological disease that progresses slowly and gradually. Currently incurable, and those who suffer from it deprive themselves, compared to ordinary people, of the freedom to move outside their homes. This paper aims to design and build an Internet of things prototype to locate an Alzheimer’s patient in real time in order to improve his quality of life and facilitate the task of their caregivers. The prototype is a lightweight dorsal belt carried by the patient and equipped with a NodeMCU ESP8266 board, a GPS module, and a small portable WiFi modem/router. The location of the patient is from an Android/iOS mobile application, and also from a web application. This work also allows to trace the path of the patient and to estimate his position at any time by using the Kalman Filter especially when the patient moves outside. Many tests are discussed to demonstrate the performance and the effectiveness of the proposed prototype.

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Authors and Affiliations

  1. Department of Electronics, Faculty of Technology, University Hassiba Benbouali-Chlef, Ouled Fares, Algeria

    H. E. Adardour

  2. STIC Laboratory, Department of Telecommunications, Faculty of Technology, University Abou Bekr Balkaid-Tlemcen, Post Box 230, 13000, Pole Chetouane, Tlemcen, Algeria

    H. E. Adardour, M. Hadjila, S. M. H. Irid, T. Baouch & S. E. Belkhiter

Authors
  1. H. E. Adardour
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  2. M. Hadjila
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Adardour, H.E., Hadjila, M., Irid, S.M.H. et al. Outdoor Alzheimer’s Patients Tracking Using an IoT System and a Kalman Filter Estimator. Wireless Pers Commun 116, 249–265 (2021). https://doi.org/10.1007/s11277-020-07713-4

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