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Detection of hand-to-mouth gestures using a RF operated proximity sensor for monitoring cigarette smoking

  • University of Alabama

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

Common methods for monitoring of cigarette smoking, such as portable puff-topography instruments or selfreport questionnaires, tend to be biased due to conscious or unconscious underreporting. Additionally, these methods may change the natural smoking behavior of individuals. Our long term objective is the development of a wearable noninvasive monitoring system (Personal Automatic Cigarette Tracker - PACT) to reliably monitor cigarette smoking behavior under free living conditions. PACT monitors smoking by observing characteristic breathing patterns of smoke inhalations that follow a cigarette-to-mouth hand gesture. As envisioned, PACT does not rely on self-report or require any conscious effort from the user. A major element of the PACT is a proximity sensor that detects typical cigarette-to-mouth gesture during cigarette smoking. This study describes the design and validation of a prototype RF proximity sensor that captures hand-to-mouth gestures with a high sensitivity (0.90), and a methodology that can reject up to 68% of artifacts gestures originating from activities other than cigarette smoking.

Original languageEnglish
Pages (from-to)41-49
Number of pages9
JournalOpen Biomedical Engineering Journal
Volume7
Issue number1
DOIs
StatePublished - 2013

Keywords

  • Cigarette smoking
  • Hand-to-mouth gestures
  • Proximity sensor
  • Puff topography
  • Radio frequency sensors
  • Wearable sensors

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