REFIT Smart Home Interviews (University of East Anglia) – this dataset contains qualitative data collected using semi-structured interviews and a structured survey at four time points during the REFIT field trial of smart home technologies which involved 20 households. This Python notebook gives instructions on how to convert the XML file into csv files for use in spreadsheets or relational databases. they are ‘fixed’) and are not supplied by a central heating system. The REFIT Smart Home dataset is one of the datasets made publically available by the project. Page last modified on February 04, 2020, at 11:31 AM. Text dataset … The goal of the Smart* project is to optimize home energy consumption. CASAS serves to meet research needs around testing of the technologies using real data through the use of a smart homes environment located on the WSU Pullman campus. Smarthome has been recorded in an apartment equipped with 7 Kinect v1 cameras. This dataset is used in SunSpot paper to evaluate the accuracy of the SunSpot system. The coarse coordinates for the homes will be uploaded in the coming days. All questions regarding these traces should be directed to Erik Risinger. The files are named Home_N_X_Y.csv, where N is the home number, X and Y are the coarse latitude and longitude. This repository holds dynamic and static data of a smart home use case. This page introduces Toyota Smarthome dataset. This also happened in Building03 but in this case we were able to install a pulse logger to take the measurements (see the ‘manufacturer’ and ‘model’ attributes of the sensor on the gas meter in Buidling03 for details). UK Homeowner Survey: Perceptions of Smart Home Benefits and Risks (University of East Anglia) – this is a dataset of a national survey of 1,054 homes conducted to measure perceptions of smart homes. REFIT Smart Home dataset (Loughborough University) – This dataset includes building survey data, gas consumption, internal air temperature, local climate data and other sensor measurements for the 20 REFIT homes. Download » My preferred collection of smart home datasets … The remaining 2 homes are within 20km of the weather station. The traces are made available for multiple years in CSV format and includes a SUMMARY for each file. Also available is minute-level electricity usage data from 400+ anonymous homes. I n this whitepaper, you will learn how creating a smart home artificial intelligence is made possible with the right dataset. The cmu/zigbee-smarthome dataset (v. 2020-05-26) Captured Zigbee packets from commercial smart home devices. GitHub - TechnicalBuildingSystems/OpenSmartHomeData: This repository holds dynamic and static data of a smart home use case. Various sensors were used … UK Homeowner Survey: Perceptions of Smart Home Benefits and Risks (University of East Anglia) – this is a dataset of a national survey of 1,054 homes conducted to measure perceptions of smart homes. This dataset is used to evaluate NIOM algorithm. Code and dataset: physicalmodel-data-release.tar.gz (163 MB). REFIT Electrical Load Measurements (Cleaned) (University of Strathclyde) – this dataset includes cleaned electrical consumption data in Watts for 20 households at aggregate and appliance level, timestamped and sampled at 8 second intervals. In these datasets, the relationship between the house IDs is: Fixed heaters represent those heating devices which are not portable (i.e. Smart* Data Set for Sustainability The goal of the Smart* project is to optimize home energy consumption. The current version just has the letters X and Y. 2. CASAS also works in partnership with the Smart … This dataset includes: - Building survey data for the 20 homes. Hot and colds taps in baths and sinks were not recorded, plugs – only plugs which had an appliance sensor installed were recorded. A French corpus of audio and multimodal interactions in a health smart home. These data have been acquired in the context of a PhD. In the case of the IoT, more specifically when it comes to smart homes, there is a lack of open-source datasets available for public access and unfortunately some of them disappear (from the Internet) after being active for a couple of months. Yes, the datasets can be used in both commercial and non-commercial research. Our solution. This will take you to the data repository where you can download the data. This dataset includes hourly energy data (net meter, solar generation) and weather data (weather condition data from public weather stations and apis) for 100 solar sites in North America from 2015/1/1 to 2016/1/1 used in SunDance paper. Real world data sets for Activity Recognition with Ambient Sensing. Normal (Google Home … All calendar timestamps are present in the dataset but for some timestamps, the measurement values are missing: a missing value is represented by the absence of value between two consecutive semi-colon attribute separators. ARAS Datasets. Setting the resolution has a major impact on data usage. The SHiB is a low cost and easily deployable kit designed to collect data from a wrist-worn wearable in a home … Available here is a wide variety of data collected from three real homes, including … We argue that shared home behavior datasets are critical in order to test, compare, and enhance smart home and telemedicine technologies such as user modeling, activity recognition, assessment of … mobile phone chargers, irons, lawn mowers), water outlets – only showers were recorded. Building05 had a gas meter located in the basement. indicator: not used for this dataset, always one, but intended to specify if the activity is a primary (important) activity for health related applications. The deeproof dataset contains satellite images of roofs along with the planar roof segments of each roof. All traces are in CSV format, with data fields named in the included FORMAT files. IoT datasets play a major role in improving the IoT analytics. However, the lack of availability of large real-world datasets … But they use the most data of all smart home devices currently available. It contains common daily living activities of 18 subjects. Health Smart Home (HIS) datasets. The licenses and citation requirements are given in the individual data repositories where the datasets are stored. There was no mobile signal at the meter itself, so it wasn’t possible to record the gas data in this home. - Sensor measurements made before the Smart Home equipment was installed. This dataset contains solar generation data for 81 homes across the United States. The subjects are senior people in the age range 60-80 years old. This dataset contains 3 weeks minute level aggregated energy data, and the ground truth occupancy status data for the same periods. A corecomponent of the project is several heavily-instrumented smart … The Smart* project seeks to optimize energy consumption in homes, with specific attention to modern 'smart homes' and the new opportunities made available by such homes. - Sensor measurements made after the Smart Home … Click on the links above to the dataset you wish to access. Real-world IoT datasets generate more data which in turn improve the accuracy of DL algorithms. GHOST-IoT-data-set Smart-home network traffic IoT dataset GHOST -- Safe-Guarding Home IoT Environments with Personalised Real-time Risk Control -- is a European Union Horizon 2020 Research and Innovation funded project that aims to develop a reference architecture for securing smart-homes … In this article we describe an unlabelled dataset of measurements collected from multiple environmental sensors placed in a smart home to capture human activities of daily living. For instance, the dataset … If we want to build a Smart Home AI that was predicted in movies like HER, 2001: A Space Odyssey, and Blade Runner 2049, then the idea stems to something much greater. An annotated dataset of measurements obtained using the EurValve Smart Home In a Box (SHIB) rehabilitation monitoring system is presented. thesis, in a laboratory that work on Health Smart Home… Download (19 MB) New … Smart Home Dataset with weather Information Internet of Things (IoT) Taranveer Singh • updated 2 years ago (Version 1) Data Tasks Notebooks (12) Discussion (5) Activity Metadata. Please see our dataset paper for further details. Smart medical devices are explicitly designed to track hugely private data and send it to your doctor or nurse. Important Notice. This dataset contains 1 minute level solar generation data for 50 rooftop solar panels. This Python notebook gives instructions on how to plot the climate data in the REFIT Smart Home dataset. Also the code to model the shading effects is included. The dataset … Electrical dataset (aggregated and individual circuits): Electrical data from circuits (and aggregate): Electrical data from individual energy meters: Electrical data from dimmable and non-dimmable switches: Voltage and frequency data on both electrical phases: Generation data (solar, wind, and battery voltage): Electrical data over a single 24-hour period from 443 unique homes. This dataset includes the weather and the normalized solar generation data to learn the physical blackbox model (BuildSys'18). Please see the Smart* home page for general information about the project, or the Smart* Tools download page for software that was used in the collection of this data. We have constructed the largest known dataset of labeled smart home … Ultimately, if you've decided to join the smart home … Without the ability to do so, they're useless. Yes, each dataset has a contact person who was involved with the collection and curation of the dataset. The apartment dataset contains data for 114 single-family apartments for the period 2014-2016. 2.The dataset contains some missing values in the measurements (nearly 1,25% of the rows). Partially survey items include: REFIT is a BuildTEDDI project and member of: House 1 to House 13 (REFIT Electrical Load Measurements) -> Building01 to Building13 (REFIT Smart Home dataset), House 15 to House 21 (REFIT Electrical Load Measurements) -> Building14 to Building20 (REFIT Smart Home dataset), appliances – small and/or portable appliances may not have been recorded (e.g. All boilers, cookers, fixed heaters, heat pumps, hot water cylinders, lights, meters, openings, persons, radiators, radiator valves, room thermostats, solar photovoltaic arrays, sensors and surfaces are recorded by the building survey. The folder also contains source code to visualize the dataset. That usage varies according to a few factors. 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