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Quantifying videotaped activity patterns: video translation software and training methodologies.

作者信息

Zartarian V G, Ferguson A C, Ong C G, Leckie J O

机构信息

Civil and Environmental Engineering Department, Stanford University, CA 94305-4020, USA.

出版信息

J Expo Anal Environ Epidemiol. 1997 Oct-Dec;7(4):535-42.

PMID:9306236
Abstract

Questionnaires and diaries, the current methods of human activity data collection, do not accurately capture the detail necessary to quantify exposure incurred through the dermal and non-dietary ingestion routes. Stanford University's Environmental Engineering and Science Program has developed methodologies and software (VideoTraq) for training video translators, determining inter-observer reliability, and translating videotaped micro-activity patterns into computer text files. VideoTraq output files contain duration, in seconds, for each combination of location, activity, and object contacted corresponding to the sequential micro-activities of a videotaped subject's contact boundary (e.g., left hand, right hand, mouth). Such output allows for detailed analyses of micro-activity data, including contact frequency and duration. When coupled with environmental concentrations, these data will allow for more accurate exposure assessments, particularly for the dermal and non-dietary ingestion exposure routes.

摘要

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