Quantifying videotaped activity patterns: video translation software and training methodologies
Zartarian, VG; Ferguson, AC; Ong, CG; Leckie, JO
HERO ID
1060919
Reference Type
Journal Article
Year
1997
Language
English
PMID
| HERO ID | 1060919 |
|---|---|
| In Press | No |
| Year | 1997 |
| Title | Quantifying videotaped activity patterns: video translation software and training methodologies |
| Authors | Zartarian, VG; Ferguson, AC; Ong, CG; Leckie, JO |
| Journal | Journal of Exposure Analysis and Environmental Epidemiology |
| Volume | 7 |
| Issue | 4 |
| Page Numbers | 535-542 |
| 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. |
| Pmid | 9306236 |
| Wosid | WOS:A1997XW85000008 |
| Is Certified Translation | No |
| Dupe Override | No |
| Is Public | Yes |
| Language Text | English |
| Keyword | activity patterns; dermal exposure; non-dietary ingestion; software; video translation; videotaping |
| Is Qa | No |