公开(公告)号：US11350671B2

公开(公告)日：2022-06-07

申请号：US16859348

申请日：2020-04-27

Applicant: Altria Client Services LLC

Inventor： Eric Hawes ,  Raymond Lau ,  Terry Bache ,  Niall Gallagher

IPC: A24F40/51 ,  G05B15/02 ,  A61M15/06 ,  A61M11/04 ,  A24F40/50 ,  A61M15/00 ,  A24F40/10

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.

公开(公告)号：US20210153548A1

公开(公告)日：2021-05-27

申请号：US16695692

申请日：2019-11-26

Applicant: Altria Client Services LLC

Inventor： Dean TWITE ,  Yannick Hourmand ,  Charles Dendy ,  Bipin Patil ,  Rangaraj S. Sundar ,  Christopher Newcomb ,  Niall Gallagher ,  Raymond W. Lau ,  Eric Hawes

IPC: A24F40/42 ,  A24F40/44

Abstract: A nicotine pod assembly for a nicotine e-vaping device may include a pod body and a connector module. The pod body has an upstream end and a downstream end and is configured to hold a nicotine pre-vapor formulation. The upstream end of the pod body defines a cavity. The connector module is configured to be seated within the cavity of the pod body. The connector module may include an external face and a side face. The external face of the connector module includes at least one electrical contact and defines a pod inlet. The side face of the connector module defines at least one module inlet. The side face of the connector module faces a sidewall of the cavity in the pod body when the connector module is seated within the cavity.

公开(公告)号：US10671031B2

公开(公告)日：2020-06-02

申请号：US15390810

申请日：2016-12-27

Applicant: Altria Client Services LLC

Inventor： Eric Hawes ,  Raymond Lau ,  Terry Bache ,  Niall Gallagher

IPC: A24F47/00 ,  G05B15/02 ,  A61M15/06 ,  A61M11/04 ,  A61M15/00

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.