Available online 30 November 2022, 100744

A symbolic reliable positioning system is proposed, without aiming for accuracy.

It has been deployed at home and in a hospital for stretcher movements' analysis.

An example of behavioral statistics of an elderly person is proposed. Other ways of using such reliable geo-data are suggested.

The well-being of people depends in part on the sense of freedom, and one aspect is certainly the possibility for people to remain at home. However, there is a need for “following” the movements and, if possible, the activity of the person. The problem is that very few home systems make it possible to have these data at a reasonable price, and at an acceptable reliability level. We offer a simple to use, reliable and energy self-sufficient person location system. People are the first “targets”, but objects could be involved.

The system is described and their performance analyzed in real conditions of use. The positioning algorithms are explained and the practical implementations described.

First results on the activity of a person at home are presented as well as some tracks on the type of data processing that could be considered.

The simplicity of deployment is shown and the usefulness of the available data is discussed in the context of home care of an elderly person as well as the monitoring of hospital equipment.

Our approach provides simplicity of implementation and very high reliability in real time, without aiming for high accuracy in all cases. Conceptually taking into account the high variability of indoor radio measurements makes it possible to significantly increase the reliability of the geo-data produced. Moreover, we will mention two real deployments and the associated performances obtained, carried out in order to follow the behavior of an old autonomous man living alone at home, and in another hand to follow the stretchers of the emergency department of a French hospital.

geo data

self-sufficient system

person's activity sensing

stay at home

medical equipment management

hospital

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