Nicoletta Sportillo
Neural network optimization for indoor person localisation using capacitive sensors.
Rel. Mihai Teodor Lazarescu, Luciano Lavagno. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2020
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Abstract
Nowadays one of the main aspect that can be analyzed in smart home society is human localisation and movement estimation. It can lead to a better quality of life with reduced costs for example by handling other existent smart technologies as automatic heating and lightning. Moreover, indoor movement monitoring can be really useful in assisted-living for elderly people. This kind of system must be privacy aware and easy to use and a tagless passive positioning system can be a good choice. Among the different type of passive sensing one of the most interesting is the capacitive sensing. The need of cheap hardware and the possibility to analyse the acquired data by a microcontroller make capacitive sensors easy to produce and to prototype.
This sensors are the main part of a project in progress "Capacitive sensing for indoor human localisation" that is related to the thesis work
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