Working Paper Article Version 1 This version is not peer-reviewed

Monitoring the Health and Residence Conditions of Elderly People, using LoRa and The Things Network

Version 1 : Received: 11 February 2021 / Approved: 12 February 2021 / Online: 12 February 2021 (14:48:21 CET)

How to cite: Lousado, J.P.; Antunes, S. Monitoring the Health and Residence Conditions of Elderly People, using LoRa and The Things Network. Preprints 2021, 2021020308 Lousado, J.P.; Antunes, S. Monitoring the Health and Residence Conditions of Elderly People, using LoRa and The Things Network. Preprints 2021, 2021020308

Abstract

The rapid developments and widespread use of information and telecommunications technologies do not mitigate, in many situations, info-exclusion, nor the physical isolation of people. In particular, the elderly living in remote locations, whose mobile network coverage is mostly deficient or non-existent, preventing them from having access to health care, be it routine follow-up procedures, or in emergency situations. Faced this, we raise a question that addresses our study: How can we monitor the residence conditions and the state of health of the elderly, detecting falls and tracking their movement in the vicinity of their homes in a non-intrusive manner? To answer this question, we present a system prototype that uses affordable, low-cost and low-energy equipment that uses media and data processing, supported in Lora (Long Range) and ESP32 microcontroller, coupling several sensors. As a result, with this system it is possible to monitor sensors to predict and detect falls or other risk events for the user, but also in the home, for example fire, allowing authorized persons and entities, family members, civil protection and security forces to have access to the physical and living conditions of the users of the system. We conclude that the system can contribute decisively to improve the quality of life of people, especially the elderly who live in remote places in conditions of greater vulnerability.

Subject Areas

IoT; LoRaWAN; Pervasive Systems; Sensor Data Analytics; The Things Network; Remote Monitoring

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