公开(公告)号：US20210352441A1

公开(公告)日：2021-11-11

申请号：US17383654

申请日：2021-07-23

Applicant: Aerial Technologies Inc.

Inventor： Qianyu Liu ,  Negar Ghourchian ,  Michel Allegue Martinez ,  Raihan Seraj

IPC: H04W4/029 ,  H04B17/318

Abstract: Systems and methods are provided for human activity analysis and localization using channel state information (CSI). A streamlined data processing and feature extraction approach that addresses concept drifts for time series data is provided. Data obtained from CSI or any other mechanism is used to estimate the wireless channel between two different wireless nodes (e.g., an access point (AP) and an associated station (STA)), and can be used to train a robust system capable of performing room level localization. A phase and magnitude augmented feature space along with a standardization technique that is little affected by drifts is also used.

公开(公告)号：US11902857B2

公开(公告)日：2024-02-13

申请号：US17383654

申请日：2021-07-23

Applicant: Aerial Technologies Inc.

Inventor： Qianyu Liu ,  Negar Ghourchian ,  Michel Allegue Martinez ,  Raihan Seraj

IPC: H04B17/318 ,  H04W4/029 ,  H04W84/12

CPC classification number: H04W4/029 ,  H04B17/318 ,  H04W84/12

Abstract: Systems and methods are provided for human activity analysis and localization using channel state information (CSI). A streamlined data processing and feature extraction approach that addresses concept drifts for time series data is provided. Data obtained from CSI or any other mechanism is used to estimate the wireless channel between two different wireless nodes (e.g., an access point (AP) and an associated station (STA)), and can be used to train a robust system capable of performing room level localization. A phase and magnitude augmented feature space along with a standardization technique that is little affected by drifts is also used.