Abstract: A method of detecting a hand-to-mouth (HMG) gesture with an e-vaping device includes detecting movements of the e-vaping device; generating quaternions based on the detected movements; generating movement features based on the generated quaternions; applying the generated movement features to a classifier; and determining whether the detected movements correspond to an HMG based on an output of the classifier.
Type:
Application
Filed:
December 27, 2016
Publication date:
April 20, 2017
Applicant:
Altria Client Sevices LLC
Inventors:
ERIC HAWES, Raymond Lau, Terry Bache, Niall Gallagher