SELF-LEARNING BASED ON WI-FI-BASED MONITORING AND AUGMENTATION

Technologies for attestation techniques, systems, and methods for determining an individual's movement are provided. The individual's movement is determined by passive indoor positioning technology using channel state information (CSI). A first set of data associated with an impulse or fre...

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Bibliographic Details
Main Authors Paradis-Theberge, Pascal, Martinez, Michel Allegue, Ghourchian, Negar, Grant, David, Morel, Francois
Format Patent
LanguageEnglish
Published 15.10.2020
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Summary:Technologies for attestation techniques, systems, and methods for determining an individual's movement are provided. The individual's movement is determined by passive indoor positioning technology using channel state information (CSI). A first set of data associated with an impulse or frequency response determined using channel state information (CSI) may be received from a Wireless access point located in proximity to a monitored space. A second set of data may also be received from an Internet of Things (IoT) device located in proximity to the monitored space. The first set of data may be compared to the second set of data. A profile database may be updated to replace the first set of data with the second set of data when the first and second sets of data are different.
Bibliography:Application Number: US202016795219