DEVICE-FREE LOCALIZATION METHODS WITHIN SMART INDOOR ENVIRONMENTS

Device-free localization for smart indoor environments within an indoor area covered by wireless networks is detected using active off-the-shelf-devices would be beneficial in a wide range of applications. By exploiting existing wireless communication signals and machine learning techniques in order...

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Bibliographic Details
Main Authors GHOURCHIAN, NEGAR, PRECUP, DOINA, ALLEGUE MARTINEZ, MICHEL
Format Patent
LanguageEnglish
Published 25.01.2024
Subjects
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
WIRELESS COMMUNICATIONS NETWORKS
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Summary:Device-free localization for smart indoor environments within an indoor area covered by wireless networks is detected using active off-the-shelf-devices would be beneficial in a wide range of applications. By exploiting existing wireless communication signals and machine learning techniques in order to automatically detect entrance into the area, and track the location of a moving subject within the sensing area a low cost robust long-term tracking system can be established. A machine learning component is established to minimize the need for user annotation and overcome temporal instabilities via a semi-supervised framework. After establishing a robust base learner mapping wireless signals to different physical locations from a small amount of labeled data; during its lifetime, the learner automatically re-trains when the uncertainty level rises significantly. Additionally, an automatic change-point detection process is employed setting a query for updating the outdated model and the decision boundaries.
Bibliography:Application Number: US202318481470