Detection of Hand-to-Mouth Gestures Using a RF Operated Proximity Sensor for Monitoring Cigarette Smoking
Open Access
- 5 April 2013
- journal article
- Published by Bentham Science Publishers Ltd. in The Open Biomedical Engineering Journal
- Vol. 7 (1), 41-49
- https://doi.org/10.2174/1874120701307010041
Abstract
Common methods for monitoring of cigarette smoking, such as portable puff-topography instruments or self-report 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 non-invasive 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.Keywords
This publication has 5 references indexed in Scilit:
- Human Smoking Event Detection Using Visual Interaction CluesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Toward Objective Monitoring of Ingestive Behavior in Free-living PopulationObesity, 2009
- Automatic Detection of Swallowing Events by Acoustical Means for Applications of Monitoring of Ingestive BehaviorIEEE Transactions on Biomedical Engineering, 2009
- Interventions to facilitate smoking cessation.2006
- Visual interpretation of hand gestures for human-computer interaction: a reviewIeee Transactions On Pattern Analysis and Machine Intelligence, 1997