{"data":{"id":"10.6084/m9.figshare.6051794.v5","type":"dois","attributes":{"doi":"10.6084/m9.figshare.6051794.v5","prefix":"10.6084","suffix":"m9.figshare.6051794.v5","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Dallan Byrne","affiliation":[],"nameIdentifiers":[]},{"name":"Kozlowski, Michal","nameType":"Personal","givenName":"Michal","familyName":"Kozlowski","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Residential Wearable RSSI and Accelerometer Measurements with Detailed Annotations"}],"publisher":"figshare","container":{},"publicationYear":2019,"subjects":[{"subject":"90699 Electrical and Electronic Engineering not elsewhere classified","subjectScheme":"FOR"},{"subject":"FOS: Electrical engineering, electronic engineering, information engineering","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Electrical engineering, electronic engineering, information engineering","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"80702 Health Informatics","subjectScheme":"FOR"},{"subject":"FOS: Media and communications","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Media and communications","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"111711 Health Information Systems (incl. Surveillance)","subjectScheme":"FOR"},{"subject":"FOS: Health sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Health sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Applied Computer Science"},{"subject":"170203 Knowledge Representation and Machine Learning","subjectScheme":"FOR"},{"subject":"FOS: Psychology","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Psychology","subjectScheme":"Fields of Science and Technology (FOS)"}],"contributors":[],"dates":[{"date":"2019-01-31","dateType":"Created"},{"date":"2019-01-31","dateType":"Updated"},{"date":"2019","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsIdenticalTo","relatedIdentifier":"10.6084/m9.figshare.6051794","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["36657249 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"\u003cb\u003eContext\u003c/b\u003e\u003cb\u003e\u003c/b\u003e\u003cbr\u003eThis repository offers smart-home wearable accelerometer and Radio Signal Strength (RSS) data acquired : 1) with low-cost hardware 2) with high-resolution location annotations 3) from four lived-in premises.\u003cbr\u003e\u003cb\u003eInstructions\u003c/b\u003e\u003cbr\u003e\u003cbr\u003e1. Download and unzip the dataset.\u003cbr\u003e\u003cbr\u003e2. Navigate to:\u003cbr\u003e\u003ci\u003eble-accelerometer-indoor-localisation-measurements/codes/load_dataset_py\u003c/i\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e3. Install prerequisites: \u003cbr\u003e\u003ci\u003epip -r install requirements.txt\u003c/i\u003e\u003cbr\u003e\u003cbr\u003e4.Run the sample module to load and view the measurements : \u003cbr\u003e\u003ci\u003epython3 src/load_data.py\u003c/i\u003e\u003ci\u003e\u003cbr\u003e\u003c/i\u003e\u003ci\u003e\u003cbr\u003e\u003c/i\u003e\u003cb\u003eFurther Information\u003c/b\u003e\u003ci\u003e\u003cbr\u003e\u003c/i\u003e\u003ci\u003e\u003cbr\u003e\u003c/i\u003ePlease cite: Byrne, D., Kozlowski, M., Santos-Rodriguez, R., Piechocki, R. \u0026amp; Craddock, I. Residential wearable RSSI and accelerometer measurements with detailed location annotations. Sci. Data 5, 180168 (2018). https://www.nature.com/articles/sdata2018168\u003cbr\u003e Thanks to: Raul Santos-Rodriguez, Robert Piechocki, Ian Craddock, SPHERE IRC team, Beatriz Monsalve-Carcalen and Raimon Fransoy.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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