2.The dataset contains some missing values in the measurements (nearly 1,25% of the rows). The current version just has the letters X and Y. The files are in CSV format and have three columns: Timestamps, Local_Time, and Solar. Why download this smart home … - Sensor measurements made after the Smart Home … Smarthome has been recorded in an apartment equipped with 7 Kinect v1 cameras. Please see our dataset paper for further details. A corecomponent of the project is several heavily-instrumented smart … The remaining 2 homes are within 20km of the weather station. 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. 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. 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). Download » REFIT has published 4 open access datasets. All traces are in CSV format, with data fields named in the included FORMAT files. This dataset includes: - Building survey data for the 20 homes. My preferred collection of smart home datasets … 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 … 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. I n this whitepaper, you will learn how creating a smart home artificial intelligence is made possible with the right dataset. This Carnegie Mellon University dataset contains Zigbee … Building05 had a gas meter located in the basement. Various sensors were used … Setting the resolution has a major impact on data usage. Click on the links above to the dataset you wish to access. It contains common daily living activities of 18 subjects. Our solution. 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 apartment dataset contains data for 114 single-family apartments for the period 2014-2016. The subjects are senior people in the age range 60-80 years old. Ultimately, if you've decided to join the smart home … An annotated dataset of measurements obtained using the EurValve Smart Home In a Box (SHIB) rehabilitation monitoring system is presented. In these datasets, the relationship between the house IDs is: Fixed heaters represent those heating devices which are not portable (i.e. - Sensor measurements made before the Smart Home equipment was installed. The traces are made available for multiple years in CSV format and includes a SUMMARY for each file. 2. 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. 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. That usage varies according to a few factors. The goal of the Smart* project is to optimize home energy consumption. Real world data sets for Activity Recognition with Ambient Sensing. GitHub - TechnicalBuildingSystems/OpenSmartHomeData: This repository holds dynamic and static data of a smart home use case. For instance, the dataset … thesis, in a laboratory that work on Health Smart Home… A French corpus of audio and multimodal interactions in a health smart home. 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. 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. Code and dataset: physicalmodel-data-release.tar.gz (163 MB). The SHiB is a low cost and easily deployable kit designed to collect data from a wrist-worn wearable in a home … indicator: not used for this dataset, always one, but intended to specify if the activity is a primary (important) activity for health related applications. 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. Hot and colds taps in baths and sinks were not recorded, plugs – only plugs which had an appliance sensor installed were recorded. they are ‘fixed’) and are not supplied by a central heating system. 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. 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. 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. 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 … The dataset … 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. 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. However, the lack of availability of large real-world datasets … The coarse coordinates for the homes will be uploaded in the coming days. Data collection and processing is ongoing, so check this page for future updates. 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). Also available is minute-level electricity usage data from 400+ anonymous homes. Available here is a wide variety of data collected from three real homes, including … This repository holds dynamic and static data of a smart home use case. CASAS also works in partnership with the Smart … This dataset includes the weather and the normalized solar generation data to learn the physical blackbox model (BuildSys'18). The licenses and citation requirements are given in the individual data repositories where the datasets are stored. 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 … 18 of the homes are within 3km of the weather station. But they use the most data of all smart home devices currently available. This dataset contains 3 weeks minute level aggregated energy data, and the ground truth occupancy status data for the same periods. 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