Technical note: Re-validating the "stopWatch" smartwatch-based system for passive detection of cigarette smoking

Christopher J Stone, Angela Suzanne Attwood, Marcus Robert Munafo, Andy Skinner

Research output: Working paper / PreprintPreprint

Abstract

Our 2018 paper1 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 languageEnglish
PublisherPsyArXiv Preprints
DOIs
Publication statusPublished - 21 Sept 2022

Funding

This work was supported by a Health Data Research UK fellowship awarded to AS (MR/S003894/1), and by the Medical Research Council Integrative Epidemiology Unit at the University of Bristol which is supported by the Medical Research Council and the University of Bristol (grants MC_ UU_12013/6 and MC_UU_12013/7), and by Cancer Research UK [grant number C18281/A29019]

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