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. Also available is minute-level electricity usage data from 400+ anonymous homes. This dataset is used in SunSpot paper to evaluate the accuracy of the SunSpot system. The files are in CSV format and have three columns: Timestamps, Local_Time, and Solar. Please send an email to this person with your query. 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. All questions regarding these traces should be directed to Erik Risinger. 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. An annotated dataset of measurements obtained using the EurValve Smart Home In a Box (SHIB) rehabilitation monitoring system is presented. Building05 had a gas meter located in the basement. The deeproof dataset contains satellite images of roofs along with the planar roof segments of each roof. The folder also contains source code to visualize the dataset. Download » 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 … mobile phone chargers, irons, lawn mowers), water outlets – only showers were recorded. Yes, the datasets can be used in both commercial and non-commercial research. 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. Yes, each dataset has a contact person who was involved with the collection and curation of the dataset. More information is available in the REFIT Final Report and our journal papers, available on the Publications page. Smart medical devices are explicitly designed to track hugely private data and send it to your doctor or nurse. 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. Normal (Google Home … However, the lack of availability of large real-world datasets … The cmu/zigbee-smarthome dataset (v. 2020-05-26) Captured Zigbee packets from commercial smart home devices. REFIT has published 4 open access datasets. thesis, in a laboratory that work on Health Smart Home… The files are named Home_N_X_Y.csv, where N is the home number, X and Y are the coarse latitude and longitude. 18 of the homes are within 3km of the weather station. The licenses and citation requirements are given in the individual data repositories where the datasets are stored. 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. Text dataset … The dataset … - Sensor measurements made before the Smart Home equipment was installed. 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. This dataset contains 3 weeks minute level aggregated energy data, and the ground truth occupancy status data for the same periods. Available here is a wide variety of data collected from three real homes, including … Without the ability to do so, they're useless. This dataset contains 1 minute level solar generation data for 50 rooftop solar panels. IoT datasets play a major role in improving the IoT analytics. 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. This Carnegie Mellon University dataset contains Zigbee … A corecomponent of the project is several heavily-instrumented smart … But they use the most data of all smart home devices currently available. This repository holds dynamic and static data of a smart home use case. - Sensor measurements made after the Smart Home … Our solution. This dataset includes the weather and the normalized solar generation data to learn the physical blackbox model (BuildSys'18). Setting the resolution has a major impact on data usage. 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. Radiators represent hot water radiators that are supplied by a central heating system. This Python notebook gives instructions on how to plot the climate data in the REFIT Smart Home dataset. Various sensors were used … real smart homes, ranging from measurements of security/privacy violations in the wild [6, 7] to training machine learning algorithms for modeling device behaviors [11,12] or inferring device identities [3,13]. The remaining 2 homes are within 20km of the weather station. For instance, 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. Important Notice. The SHiB is a low cost and easily deployable kit designed to collect data from a wrist-worn wearable in a home … In these datasets, the relationship between the house IDs is: Fixed heaters represent those heating devices which are not portable (i.e. 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 … Ultimately, if you've decided to join the smart home … 2. ARAS Datasets. Real-world IoT datasets generate more data which in turn improve the accuracy of DL algorithms. The REFIT Smart Home dataset is one of the datasets made publically available by the project. The coarse coordinates for the homes will be uploaded in the coming days. That usage varies according to a few factors. This page introduces Toyota Smarthome dataset. 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. The traces are made available for multiple years in CSV format and includes a SUMMARY for each file. All traces are in CSV format, with data fields named in the included FORMAT files. I n this whitepaper, you will learn how creating a smart home artificial intelligence is made possible with the right dataset. This dataset includes: - Building survey data for the 20 homes. Also the code to model the shading effects is included. Page last modified on February 04, 2020, at 11:31 AM. Health Smart Home (HIS) datasets. The current version just has the letters X and Y. indicator: not used for this dataset, always one, but intended to specify if the activity is a primary (important) activity for health related applications. Smarthome has been recorded in an apartment equipped with 7 Kinect v1 cameras. 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). This Python notebook gives instructions on how to convert the XML file into csv files for use in spreadsheets or relational databases. A French corpus of audio and multimodal interactions in a health smart home. Smart* Data Set for Sustainability The goal of the Smart* project is to optimize home energy consumption. 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. This dataset is used to evaluate NIOM algorithm. GitHub - TechnicalBuildingSystems/OpenSmartHomeData: This repository holds dynamic and static data of a smart home use case. These data have been acquired in the context of a PhD. This dataset contains solar generation data for 81 homes across the United States. Download Matlab dataset in zip format . Available here is a wide variety of data collected from three real homes, including electrical (usage and generation), environmental (e.g., temperature and humidity), and operational (e.g., wall switch events). CASAS also works in partnership with the Smart … Why download this smart home … It mainly smart speakers (NUGU, Google Home Mini) answer to questions of play music, and home cameras (EZVIZ, TP-Link) stream images to a cell phone, and smart bulb (Hue) turn on/off or control the light color of bulbs. This will take you to the data repository where you can download the data. The subjects are senior people in the age range 60-80 years old. A medium resolution setting … Questions? Real world data sets for Activity Recognition with Ambient Sensing. Please see our dataset paper for further details. 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. 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. The goal of the Smart* project is to optimize home energy consumption. Click on the links above to the dataset you wish to access. We have constructed the largest known dataset of labeled smart home … 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. My preferred collection of smart home datasets … Download (19 MB) New … Hot and colds taps in baths and sinks were not recorded, plugs – only plugs which had an appliance sensor installed were recorded. Code and dataset: physicalmodel-data-release.tar.gz (163 MB). There was no mobile signal at the meter itself, so it wasn’t possible to record the gas data in this home. The apartment dataset contains data for 114 single-family apartments for the period 2014-2016. Data collection and processing is ongoing, so check this page for future updates. Contributed by Dimitrios-Georgios Akestoridis, Madhumitha Harishankar, Michael Weber, Patrick Tague. they are ‘fixed’) and are not supplied by a central heating system. 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