公开(公告)号：WO2022006659A1

公开(公告)日：2022-01-13

申请号：PCT/CA2021/050914

申请日：2021-07-05

Applicant: EPIC SAFETY INC.

Inventor： ZAMANPOUR, Mohammad ,  HASSANPOUR ZAHRAEI, Salman ,  SOLTANIAN, Mohammad ,  SHOKOUFI, Majid

IPC: G01P13/00 ,  G01P15/14 ,  G08B21/02 ,  G08B25/00

Abstract: There is provided a method and apparatus for detecting a fall event of the user. In particular, the method includes collecting data associated with activities of the user from a plurality of sensors and distributing the collected data to data sub-windows using signal windowing and segmentation, the data sub-windows indicative of a pre-fall moment, a fall moment, and a post-fall moment. The method further includes extracting a plurality of features from one or more of the data sub-windows and determining whether the event is a fall event at least in part based on the extracted features. The determination of whether the event is a fall event can further be determined by applied support vector machine (SVM) technique. The developed machine learning based methods may be substantially optimum in terms of a trade-off between accuracy and complexity of the evaluation. The method further includes multiple rejection filters in order to aid with the prevention of false alarms due to fall-like activities of daily living (ADLs). The method further includes a personalization process to update the machine learning based methods associated with each user.