Projects per year
Abstract
Our 2018 paper introduced StopWatch, a smartwatch-based system for passive measurement of cigarette smoking. Preliminary validation testing indicated performance figures of 86% precision and 71% recall. The system was implemented on a model of smartwatch typical of the technology commercially available at the time (LG ‘G-watch’). In the current study we seek to re-validate the StopWatch system using a more current model of smartwatch (Ticwatch C2). We achieved a performance of 88% precision and 78% recall using this device. The re-validation exercise, taking place at a time of restrictions on movement and on research studies due to the Covid-19 pandemic, also provided experience of adapting a study from working with face-to-face participants in a laboratory setting to capturing data using remote participants in their natural environment.
Original language | English |
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DOIs | |
Publication status | Published - 21 Sept 2022 |
Publication series
Name | PsyArXiv |
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Publisher | Cornell University |
Research Groups and Themes
- ICEP
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- 1 Active
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8074 (C18281/A29019) ICEP2 - Programme Award: Towards improved casual evidence and enhanced prediction of cancer risk and survival
Martin, R. M. (Principal Investigator)
1/10/20 → 30/09/25
Project: Research