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S1_Table.docx

data indefinite Recognition rates for each household (MS Word). doi:10.1371/journal.pone.0171610.s004 3491 2 11637 document 3491 S2_Dataset.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet b231981dab8bfee8fb372ca671d7945c8036a1ce6a82906acbf7a55baf6819c3 SHA256 30927 2017-02-24 16:35:44 https://datacompass.lshtm.ac.uk/id/eprint/332/3/S2_Dataset.xlsx 332 3 3 application/vnd.openxmlformats-officedocument.spreadsheetml.sheet Dataset en public cc_by

S2_Dataset.xlsx

data indefinite Data household 2 (MS Excel). doi:10.1371/journal.pone.0171610.s002 3492 2 11639 document 3492 S3_Dataset.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet e0dcbab8b9adbac191040d61cd3cacc6eed44177f773f32d8a858f1d45c0015c SHA256 46696 2017-02-24 16:35:46 https://datacompass.lshtm.ac.uk/id/eprint/332/4/S3_Dataset.xlsx 332 4 4 application/vnd.openxmlformats-officedocument.spreadsheetml.sheet Dataset en public cc_by

S3_Dataset.xlsx

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indexcodes.txt

http://eprints.org/relation/isVersionOf https://datacompass.lshtm.ac.uk/id/document/3490 http://eprints.org/relation/isVolatileVersionOf https://datacompass.lshtm.ac.uk/id/document/3490 http://eprints.org/relation/isIndexCodesVersionOf https://datacompass.lshtm.ac.uk/id/document/3490 indefinite Generate index codes conversion from Text to indexcodes archive 3 disk0/00/00/03/32 2017-02-24 16:39:16 2025-09-18 12:20:02 2017-02-24 16:39:16 data_collection show Judah Gaby TRUE 6d277a98b7c44b8b274bec879e633337 de Witt Huberts Jessica TRUE Drassal Allan FALSE Aunger Robert 0000-0001-8136-9376 TRUE a810c8605ca1bb4e9f1e0fc6343b3750 London School of Hygiene & Tropical Medicine, London, United Kingdom Imperial College, London, United Kingdom Potsdam University, Potsdam, Germany Washington State University, Pullman, Washington, United States of America Behavior Sensory systems Soaps Vitamins Microphones Research validity Hygiene Research monitoring The accurate measurement of behaviour is vitally important to many disciplines and practitioners of various kinds. While different methods have been used (such as observation, diaries, questionnaire), none are able to accurately monitor behaviour over the long term in the natural context of people's own lives. The aim of this work was therefore to develop and test a reliable system for unobtrusively monitoring various behaviours of multiple individuals within the same household over a period of several months. A commercial Real Time Location System was adapted to meet these requirements and subsequently validated in three households by monitoring various bathroom behaviours. The results indicate that the system is robust, can monitor behaviours over the long-term in different households and can reliably distinguish between individuals. Precision rates were high and consistent. Recall rates were less consistent across households and behaviours, although recall rates improved considerably with practice at set-up of the system. The achieved precision and recall rates were comparable to the rates observed in more controlled environments using more valid methods of ground truthing. These initial findings indicate that the system is a valuable, flexible and robust system for monitoring behaviour in its natural environment that would allow new research questions to be addressed. 2017-02-14 published Figshare Dataset London School of Hygiene & Tropical Medicine, London, United Kingdom Other public Unilever PLC Dataset Quantitative en https://figshare.com/collections/The_development_and_validation_of_a_Real_Time_Location_System_to_reliably_monitor_everyday_activities_in_natural_contexts/3691141 data https://doi.org/10.1371/journal.pone.0171610.s001 dataresource http://researchonline.lshtm.ac.uk/id/eprint/3515703 Unilever PLC 2017-02-14