Irene Castro
Indoor human localization: a sensor fusion approach using long distance capacitive and infrared sensors.
Rel. Mihai Teodor Lazarescu, Luciano Lavagno. Politecnico di Torino, Master of science program in Electronic Engineering, 2020
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Abstract
Nowadays technology is increasingly present in our lives: the furniture in our homes becomes increasingly smarter and interacts with us, robots are replacing us in carrying out a lot of works, even in the assistance and monitoring of people in need of care. In this context to localize people inside a closed environment arouses a lot of interest since it could lead to numerous improvements in everyday life. Indoor human localization can be used in smart homes for predicting the needs of the inhabitants based on their location and movements, adjusting the lights, the heating or a sound system in the proximity of the person.
In the entertainment field, video-games could take advantage of the position of the player, for example to move an avatar in a virtual world
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