title: Quantifying videotaped activity patterns: video translation software and training methodologies.
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.
authors.affiliation: Civil and Environmental Engineering Department, Stanford University, CA 94305-4020, USA. vgz@leland.stanford.edu
authors.forename: V G
authors.initials: VG
authors.lastname: Zartarian
authors.forename: A C
authors.initials: AC
authors.lastname: Ferguson
authors.forename: C G
authors.initials: CG
authors.lastname: Ong
authors.forename: J O
authors.initials: JO
authors.lastname: Leckie
mesh_terms: D000203:Activities of Daily Living; D003625:Data Collection; D004781:Environmental Exposure / Q000032:analysis* / Q000706:statistics & numerical data; D004785:Environmental Pollutants; D006801:Humans; D015588:Observer Variation; D015203:Reproducibility of Results; D012984:Software; D014741:Video Recording / Q000379:methods*
chemical_list: D004785:Environmental Pollutants