公开(公告)号：US10539549B2

公开(公告)日：2020-01-21

申请号：US15783414

申请日：2017-10-13

Applicant: WORCESTER POLYTECHNIC INSTITUTE

Inventor： Emmanuel Agu ,  Christina Aiello

IPC: G01N33/497 ,  G01N33/98 ,  A61B5/00 ,  A61B5/145 ,  A61B5/11 ,  A61B5/024

Abstract: In a mobile sensing device, a method of detecting blood alcohol content includes receiving time-series gait data from at least one sensor of the mobile sensing device as a user walks and detecting a set of attributes associated with the time-series gait data, each attribute of the set of attributes related to the user's gait. The method includes comparing the set of attributes with a machine learning classification model learned from a training data set of attributes to determine at least one of a blood alcohol content range of the user and an impairment level of the user and outputting a notification associated with the at least one of the blood alcohol content range of the user and the impairment level of the user.