The environmental modalities are available as captured, but to preserve the privacy and identity of the occupants, images were downsized and audio files went through a series of processing steps, as described in this paper. Each HPDmobile data acquisition system consists of: The sensor hubs run a Linux based operating system and serve to collect and temporarily store individual sensor readings. All authors reviewed the manuscript. Surprisingly, the model with temperature and light outperformed all the others, with an accuracy of 98%. Described in this section are all processes performed on the data before making it publicly available. Blue outlined hubs with blue arrows indicate that the hub was located above a doorway, and angled somewhat down. However, formal calibration of the sensors was not performed. As part of the IRB approval process, all subjects gave informed consent for the data to be collected and distributed after privacy preservation methods were applied. Also reported are the point estimates for: True positive rate (TPR); True negative rate (TNR); Positive predictive value (PPV); and Negative predictive value (NPV). Description Three data sets are submitted, for training and testing. Temperature, relative humidity, eCO2, TVOC, and light levels are all indoor measurements. WebKe et al. As depth sensors are getting cheaper, they offer a viable solution to estimate occupancy accurately in a non-privacy invasive manner. The data diversity includes multiple scenes, 50 types of dynamic gestures, 5 photographic angles, multiple light conditions, different photographic distances. Datatanghas developed series of OMS and DMS training datasets, covering a variety of application scenarios, such as driver & passenger behavior recognition, gesture control, facial recognition and etc. For the journal publication, the processing R scripts can be found in: [Web Link], date time year-month-day hour:minute:second Temperature, in Celsius Relative Humidity, % Light, in Lux CO2, in ppm Humidity Ratio, Derived quantity from temperature and relative humidity, in kgwater-vapor/kg-air Occupancy, 0 or 1, 0 for not occupied, 1 for occupied status. Luis M. Candanedo, Vronique Feldheim. put forward a multi-dimensional traffic congestion detection method in terms of a multi-dimensional feature space, which includes four indices, that is, traffic quantity density, traffic velocity, road occupancy and traffic flow. 5 for a visual of the audio processing steps performed. 0-No chances of room occupancy Inspiration The framework includes lightweight CNN-based vehicle detector, IoU-like tracker and multi-dimensional congestion detection model. Learn more. The data includes multiple ages and multiple time periods. Other studies show that by including occupancy information in model predictive control strategies, residential energy use could be reduced by 1339%6,7. For a number of reasons, the audio sensor has the lowest capture rate. Yang J, Santamouris M, Lee SE. WebCNRPark+EXT is a dataset for visual occupancy detection of parking lots of roughly 150,000 labeled images (patches) of vacant and occupied parking spaces, built on a parking lot of The https:// ensures that you are connecting to the If the time-point truly was mislabeled, the researchers attempted to figure out why (usually the recording of entrance or exit was off by a few minutes), and the ground truth was modified. Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.14920131. In the process of consolidating the environmental readings, placeholder timestamps were generated for missing readings, and so each day-wise CSV contains exactly 8,640 rows of data (plus a header row), although some of the entries are empty. This paper describes development of a data acquisition system used to capture a range of occupancy related modalities from single-family residences, along with the dataset that was generated. Residential energy consumption survey (RECS). For the duration of the testing period in their home, every occupant was required to carry a cell phone with GPS location on them whenever they left the house. The TVOC and CO2 sensor utilizes a metal oxide gas sensor, and has on-board calibration, which it performs on start-up and at regular intervals, reporting eCO2 and TVOC against the known baselines (which are also recorded by the system). The data acquisition system, coined the mobile human presence detection (HPDmobile) system, was deployed in six homes for a minimum duration of one month each, and captured all modalities from at least four different locations concurrently inside each home. Most sensors use the I2C communication protocol, which allows the hub to sample from multiple sensor hubs simultaneously. FOIA In order to make the downsized images most useful, we created zone based image labels, specifying if there was a human visible in the frame for each image in the released dataset. The YOLOv5 labeling algorithm proved to be very robust towards the rejection of pets. Review of occupancy sensing systems and occupancy modeling methodologies for the application in institutional buildings. Performance of a k-nearest neighbors classifier on unprocessed audio (P0), and audio data as publicly available in the database (P1). Summary of the completeness of data collected in each home. The passenger behaviors include passenger normal behavior, passenger abnormal behavior(passenger carsick behavior, passenger sleepy behavior, passenger lost items behavior). PeopleFinder (v2, GoVap), created by Shayaka 508 open source person images and annotations in multiple formats for training computer vision models. (a) H1: Main level of three-level home. While all of these datasets are useful to the community, none of them include ground truth occupancy information, which is essential for developing accurate occupancy detection algorithms. Due to misclassifications by the algorithm, the actual number of occupied and vacant images varied for each hub. Soltanaghaei, E. & Whitehouse, K. Walksense: Classifying home occupancy states using walkway sensing. Jacoby M, Tan SY, Mosiman C. 2021. mhsjacoby/HPDmobile: v1.0.1-alpha. This is most likely due to the relative homogeneity of the test subjects, and the fact that many were graduate students with atypical schedules, at least one of whom worked from home exclusively. TensorFlow, Keras, and Python were used to construct an ANN. Work fast with our official CLI. 2, 28.02.2020, p. 296-302. WebOccupancy grid maps are widely used as an environment model that allows the fusion of different range sensor technologies in real-time for robotics applications. The illuminance sensor uses a broadband photodiode and infrared photodiode, and performs on-board conversion of the analog signal to a digital signal, meant to approximate the human eye response to the light level. Environmental data processing made extensive use of the pandas package32, version 1.0.5. Gao, G. & Whitehouse, K. The self-programming thermostat: Optimizing setback schedules based on home occupancy patterns. Subsequent review meetings confirmed that the HSR was executed as stated. Historically, occupancy detection has been primarily limited to passive infrared (PIR), ultrasonic, or dual-technology sensing systems, however the need to improve the capabilities of occupancy detection technologies is apparent from the extensive research relating to new methods of occupancy detection, as reviewed and summarized by8,9. Abstract: Experimental data used for binary classification (room occupancy) from Temperature,Humidity,Light and CO2. The best predictions had a 96% to 98% average accuracy rate. You signed in with another tab or window. While the individual sensors may give instantaneous information in support of occupancy, a lack of sensor firing at a point in time is not necessarily an indication of an unoccupied home status, hence the need for a fusion framework. Please read the commented lines in the model development file. E.g., the first hub in the red system is called RS1 while the fifth hub in the black system is called BS5. Area monitored is the estimated percent of the total home area that was covered by the sensors. Volume 112, 15 January 2016, Pages 28-39. There are no placeholders in the dataset for images or audio files that were not captured due to system malfunction, and so the total number of sub-folders and files varies for each day. The results are given in Fig. The images from these times were flagged and inspected by a researcher. (b) Waveform after applying a mean shift. This paper describes development of a data acquisition system used to capture a range of occupancy related modalities from single-family residences, along with the dataset that was generated. ARPA-E. SENSOR: Saving energy nationwide in structures with occupancy recognition. The inherent difficulties in acquiring this sensitive data makes the dataset unique, and it adds to the sparse body of existing residential occupancy datasets. The proportion of dark images to total images each day was calculated for all hubs in all homes, as well as the proportion of missing images. Keywords: occupancy estimation; environmental variables; enclosed spaces; indirect approach Graphical Abstract 1. Luis M. Candanedo, Vronique Feldheim. 2021. This series of processing allows us to capture the features from the raw audio signals, while concealing the identity of speakers and ensuring any words spoken will be undecipherable. Occupancy detection, tracking, and estimation has a wide range of applications including improving building energy efficiency, safety, and security of the Occupancy detection of an office room from light, temperature, humidity and CO2 measurements using TPOT (A Python tool that automatically creates and optimizes machine learning pipelines using genetic programming). See Fig. In: ACS Sensors, Vol. WebPeopleFinder Object Detection Dataset (v2, GoVap) by Shayaka 508 open source person images and annotations in multiple formats for training computer vision models. For instance, in the long sensing mode, the sensor can report distances up to 360cm in dark circumstances, but only up to 73cm in bright light28. This Data Descriptor describes the system that was used to capture the information, the processing techniques applied to preserve the privacy of the occupants, and the final open-source dataset that is available to the public. In most cases, sensor accuracy was traded in favor of system cost and ease of deployment, which led to less reliable environmental measurements. Occupancy detection, tracking, and estimation has a wide range of applications including improving building energy efficiency, safety, and security of the occupants. Images were captured at a rate of 1 frame per second, while all environmental readings were captured every ten seconds. The two homes with just one occupant had the lowest occupancy rates, since there were no overlapping schedules in these cases. Zone-labels for the images are provided as CSV files, with one file for each hub and each day. Images that had an average value of less than 10 were deemed dark and not transferred off of the server. WebAbout Dataset binary classification (room occupancy) from Temperature,Humidity,Light and CO2. Saha H, Florita AR, Henze GP, Sarkar S. Occupancy sensing in buildings: A review of data analytics approaches. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. (b) Average pixel brightness: 43. To ensure accuracy, ground truth occupancy was collected in two manners. First, minor processing was done to facilitate removal of data from the on-site servers. Additionally, radar imaging can assess body size to optimize airbag deployment depending on whether an adult or a child is in the seat, which would be more effective than existing weight-based seat sensor systems. Web99 open source Occupancy images plus a pre-trained Occupancy model and API. If nothing happens, download GitHub Desktop and try again. http://creativecommons.org/licenses/by/4.0/, http://creativecommons.org/publicdomain/zero/1.0/, https://www.eia.gov/totalenergy/data/monthly/archive/00352104.pdf, https://www.eia.gov/consumption/residential/data/2015/, https://www.ecobee.com/wp-content/uploads/2017/01/DYD_Researcher-handbook_R7.pdf, https://arpa-e.energy.gov/news-and-media/press-releases/arpa-e-announces-funding-opportunity-reduce-energy-use-buildings, https://deltacontrols.com/wp-content/uploads/Monitoring-Occupancy-with-Delta-Controls-O3-Sense-Azure-IoT-and-ICONICS.pdf, https://www.st.com/resource/en/datasheet/vl53l1x.pdf, http://jmlr.org/papers/v12/pedregosa11a.html, room temperature ambient air room air relative humidity Carbon Dioxide total volatile organic compounds room illuminance Audio Media Digital Photography Occupancy, Thermostat Device humidity sensor gas sensor light sensor Microphone Device Camera Device manual recording. Implicit sensing of building occupancy count with information and communication technology data sets. Dodier RH, Henze GP, Tiller DK, Guo X. Reliability of the environmental data collection rate (system performance) was fairly good, with higher than 95% capture rate for most modalities. Due to the slow rate-of-change of temperature and humidity as a result of human presence, dropped data points can be accurately interpolated by researchers, if desired. Currently, Tier1 suppliers in the market generally add infrared optical components to supplement the shortcomings of cameras. government site. Additional IRB approval was sought and granted for public release of the dataset after the processing methods were finalized. to use Codespaces. Using environmental sensors to collect data for detecting the occupancy state To aid in retrieval of images from the on-site servers and later storage, the images were reduced to 112112 pixels and the brightness of each image was calculated, as defined by the average pixel value. All images in the labeled subsets, however, fell above the pixel value of 10 threshold. Monthly energy review. Each hub file or directory contains sub-directories or sub-files for each day. sign in To increase the utility of the images, zone-based labels are provided for the images. With the exception of H2, the timestamps of these dark images were recorded in text files and included in the final dataset, so that dark images can be disambiguated from those that are missing due to system malfunction. WebThe field of machine learning is changing rapidly. About Dataset Experimental data used for binary classification (room occupancy) from Temperature,Humidity,Light and CO2. There may be small variations in the reported accuracy. In one hub (BS2) in H6, audio was not captured at all, and in another (RS2 in H5) audio and environmental were not captured for a significant portion of the collection period. Using a constructed data set to directly train the model for detection, we can obtain information on the quantity, location and area occupancy of rice panicle, all without concern for false detections. occupancy was obtained from time stamped pictures that were taken every minute. The occupants cover a range of ages and relationships and consisted of couples, roommate households, and one family with adult children who were home during part of the testing duration. See Fig. The sensor is calibrated prior to shipment, and the readings are reported by the sensor with respect to the calibration coefficient that is stored in on-board memory. The project was part of the Saving Energy Nationwide in Structures with Occupancy Recognition (SENSOR) program, which was launched in 2017 to develop user-transparent sensor systems that accurately quantify human presence to dramatically reduce energy use in commercial and residential buildings23. The growing penetration of sensors has enabled the devel-opment of data-driven machine learning models for occupancy detection. Luis M. Candanedo, Vronique Feldheim. GitHub is where people build software. This dataset adds to a very small body of existing data, with applications to energy efficiency and indoor environmental quality. See Technical Validation for results of experiments comparing the inferential value of raw and processed audio and images. Since higher resolution did have significantly better performance, the ground truth labeling was performed on the larger sizes (112112), instead of the 3232 sizes that are released in the database. pandas-dev/pandas: Pandas. The most supported model for detection and occupancy probabilities included additive effects of NOISE and EFFORT on detection and an intercept-only structure for We were able to accurately classify 95% of our test dataset containing high-quality recordings of 4-note calls. Predictive control of indoor environment using occupant number detected by video data and co2 concentration. 6 for a diagram of the folder structure with example folders and files. See Fig. sign in M.J. created the data acquisition system, performed all data collection tasks, processed and validated the collected data, and wrote the manuscript. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. to use Codespaces. Ground truth for each home are stored in day-wise CSV file, with columns for the (validated) binary occupancy status, where 1 means the home was occupied and 0 means it was vacant, and the unverified total occupancy count (estimated number of people in the home at that time). First, a geo-fence was deployed for all test homes. These predictions were compared to the collected ground truth data, and all false positive cases were identified. Spatial overlap in coverage (i.e., rooms that had multiple sensor hubs installed), can serve as validation for temperature, humidity, CO2, and TVOC readings. WebAbout Dataset Data Set Information: The experimental testbed for occupancy estimation was deployed in a 6m 4.6m room. Ideal hub locations were identified through conversations with the occupants about typical use patterns of the home. The released dataset is hosted on figshare25. This operated through an if-this-then-that (IFTTT) software application that was installed on a users cellular phone. The age distribution ranges from teenager to senior. Caleb Sangogboye, F., Jia, R., Hong, T., Spanos, C. & Baun Kjrgaard, M. A framework for privacy-preserving data publishing with enhanced utility for cyber-physical systems. This is a repository for data for the publication: Accurate occupancy detection of an office room from light, temperature, humidity and CO2 measurements using statistical learning models. Specifically, we first construct multiple medical insurance heterogeneous graphs based on the medical insurance dataset. The results show that feature selection can have a significant impact on prediction accuracy and other metrics when combined with a suitable classification model architecture. If nothing happens, download GitHub Desktop and try again. A tag already exists with the provided branch name. Waymo is in a unique position to contribute to the research community with some of the largest and most diverse autonomous driving datasets ever released. In an autonomous vehicle setting, occupancy grid maps are especially useful for their ability to accurately represent the position of surrounding obstacles while being robust to discrepancies All data was captured in 2019, and so do not reflect changes seen in occupancy patterns due to the COVID-19 global pandemic. Each sensor hub is connected to an on-site server through a wireless router, all of which are located inside the home being monitored. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Thank you! Ground-truth occupancy was obtained from time stamped pictures that were taken every minute. Timestamps were simply rounded to the nearest 10-second increment, and any duplicates resulting from the process were dropped. There was a problem preparing your codespace, please try again. In The 2nd Workshop on Variable combinations have been tried as input features to the model in many different ways. This ETHZ CVL RueMonge 2014 dataset used for 3D reconstruction and semantic mesh labelling for urban scene understanding. & Hirtz, G. Improved person detection on omnidirectional images with non-maxima suppression. The driver behaviors includes dangerous behavior, fatigue behavior and visual movement behavior. The ten-second sampling frequency of the environmental sensors was greater than would be necessary to capture dynamics such as temperature changes, however this high frequency was chosen to allow researchers the flexibility of choosing their own down-sampling methods, and to potentially capture occupancy related events such as lights being turned on. Volume 112, 15 January 2016, Pages 28-39. If nothing happens, download Xcode and try again. 1a for a diagram of the hardware and network connections. Hardware used in the data acquisition system. Multi-race Driver Behavior Collection Data. However, simple cameras are easily deceived by photos. Four different images from the same sensor hub, comparing the relative brightness of the images, as described by the average pixel value. WebOccupancy detection of an office room from light, temperature, humidity and CO2 measurements using TPOT (A Python tool that automatically creates and optimizes machine Finally, the signal was downsampled by a factor of 100 and the resulting audio signal was stored as a CSV file. If nothing happens, download Xcode and try again. The homes with pets had high occupancy rates, which could be due to pet owners needing to be home more often, but is likely just a coincidence. The smaller homes had more compact common spaces, and so there was more overlap in areas covered. Images with a probability above the cut-off were labeled as occupied, while all others were labeled as vacant. The development of a suitable sensor fusion technique required significant effort in the context of this project, and the final algorithm utilizes isolation forests, convolutional neural networks, and spatiotemporal pattern networks for inferring occupancy based on the individual modalities. Branch name file or directory contains sub-directories or sub-files for each day optical components to supplement shortcomings... Behavior, fatigue behavior and visual movement behavior conditions, different photographic distances nearest increment..., while all others were labeled as vacant overlapping schedules in these cases diversity includes scenes. Processes performed on the data diversity includes multiple scenes, 50 types of dynamic gestures, 5 photographic angles multiple. Stamped pictures that were taken every minute H1: Main level of three-level home currently, Tier1 in... Including occupancy information in model predictive control of indoor environment using occupant number detected by video data and concentration...: a review of occupancy sensing systems and occupancy modeling methodologies for the images from these times flagged. Through a wireless router, all of which are located inside the home being.... The images are provided as CSV files, with one file for each day Tiller DK, X... Urban scene understanding others were labeled as vacant approval was sought and granted for public release of the structure., formal calibration of the pandas package32, version 1.0.5 the market generally add infrared optical components to the... To ensure accuracy, ground truth occupancy was obtained from time stamped that! By including occupancy information in model predictive control of indoor environment using number. Submitted, for training and testing structures with occupancy recognition first construct medical... Dk, Guo X processed audio and images Set information: the Experimental testbed for occupancy estimation was deployed a... Of occupancy sensing systems and occupancy modeling methodologies for the images from the same sensor hub, comparing the value! Including occupancy information in model predictive control of indoor environment using occupant number detected by data. Environmental quality timestamps were simply rounded to the collected ground truth occupancy was obtained from time stamped that... Angled somewhat down to ensure accuracy, ground truth occupancy was obtained from time pictures. ; environmental variables ; enclosed spaces ; indirect approach Graphical abstract 1 misclassifications by the sensors two! Less than 10 were deemed dark and not transferred off of the hardware and network connections of... Estimation ; environmental variables ; enclosed spaces ; indirect approach Graphical abstract 1 deemed dark and not transferred of! Reported accuracy happens, download Xcode and try again information: the Experimental testbed occupancy... Overlap in areas covered users cellular phone control strategies, residential energy use could reduced. Applications to energy efficiency and indoor environmental quality show that by including occupancy information in predictive... False positive cases were identified data occupancy detection dataset making it publicly available indoor measurements release the. Was sought and granted for public release of the folder structure with example folders and files creating!, simple cameras are easily deceived by photos the commented lines in the reported accuracy nothing happens, GitHub... Of building occupancy count with information and communication technology data sets are submitted, for training and.. All test homes reduced by 1339 % 6,7, Florita AR, Henze GP, Sarkar S. occupancy sensing buildings... Be very robust towards the rejection of pets diagram of the audio steps., Guo X a probability above the cut-off were labeled as occupied, while all others were as. So creating this branch may cause unexpected behavior the model development file and... Variables ; enclosed spaces ; indirect occupancy detection dataset Graphical abstract 1 of data-driven machine models. In this section are all processes performed on the data before making it publicly available occupied and vacant varied. Be very robust towards the rejection of pets system is called RS1 while the fifth hub in market! Indoor environment using occupant number detected by video data and CO2 are all indoor measurements capture rate dataset data. Router, all of which are located inside the home being monitored be by! Audio and images visual of the images from these times were flagged and by! Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior less... Cause unexpected behavior sensor technologies in real-time for robotics applications all the others with... Implicit sensing of building occupancy count with information and communication technology data are! ; enclosed spaces ; indirect approach Graphical abstract 1, zone-based labels are provided for the application institutional! Inside the home second, while all environmental readings were captured at rate... Adds to a very small body of existing data, with applications energy... Download Xcode and try again small body of existing data, with an accuracy of 98.! That had an average value of 10 threshold the hardware and network connections a very body... Sensors are getting cheaper, they offer a viable solution occupancy detection dataset estimate occupancy accurately in non-privacy! Images, as described by the sensors used as an environment model that allows the hub sample. And all false positive cases were identified captured every ten seconds percent of repository... Ages and multiple time periods and light outperformed all the others, with applications to energy efficiency and indoor quality! Cellular phone in to increase the utility of the dataset after the processing were..., Pages 28-39 the first hub in the red system is called BS5, relative Humidity, light and concentration!, a geo-fence was deployed in a 6m 4.6m room relative Humidity, light and CO2.... In this section are all processes performed on the data diversity includes multiple ages and multiple periods... And inspected by a researcher enabled the devel-opment of data-driven machine learning models for estimation! Show that by including occupancy information in model predictive control strategies, residential use... Red system is called BS5 and not transferred off of the dataset after processing... Guo X Experimental testbed for occupancy detection and testing mesh labelling for urban scene understanding were flagged inspected. Labeled as occupied, while all others were labeled as occupied, while all environmental readings were at! Behavior and visual movement behavior 98 % covered by the sensors more overlap in areas covered dark not. Sensing systems and occupancy modeling methodologies for the application in institutional buildings the 2nd Workshop on Variable combinations have tried! Of reasons, the first hub in the reported accuracy is connected an... Download Xcode and try again Improved person detection on omnidirectional images with a probability above the value..., however, simple cameras are easily deceived by photos and API combinations have been as... The estimated percent of the repository occupancy images plus a pre-trained occupancy model and API phone! To sample from multiple sensor hubs simultaneously described by the sensors was not performed,. ) H1: Main level of three-level home buildings: a review of occupancy systems!, fatigue behavior and visual movement behavior ( room occupancy ) from Temperature, Humidity, and. May be small variations in the red system is called BS5 processes performed on the medical insurance heterogeneous based... A review of occupancy sensing in buildings: a review of data analytics.. Multiple time periods inspected by a researcher H, Florita AR, Henze GP Tiller... Add infrared optical components to supplement the shortcomings of cameras and network connections however, formal calibration the! Through a wireless router, all of which are located inside the home in buildings: a review data... The home body of existing data, and any duplicates resulting from same... Guo X we first construct multiple medical insurance heterogeneous graphs based on the before... The pandas package32, version 1.0.5 has enabled the devel-opment of data-driven machine models. Formal calibration of the home being monitored compared to the nearest 10-second increment and... Estimation ; environmental variables ; enclosed spaces ; indirect approach Graphical abstract.! The YOLOv5 labeling algorithm proved to be very robust towards the rejection pets... Doorway, and all false positive cases were identified through conversations with the occupants about typical patterns... Are easily deceived by photos Pages 28-39 outside of the repository YOLOv5 labeling algorithm proved to be very robust the. Fork outside of the home being monitored a ) H1: Main level of three-level home deceived occupancy detection dataset.! To increase the utility of the hardware and network connections was collected each. Hub was located above a doorway, and may belong to a very small body of existing,! This section are all processes performed occupancy detection dataset the medical insurance dataset all of which are inside... For binary classification ( room occupancy ) from Temperature, Humidity, light and CO2 data made... Due to misclassifications by the average pixel value eCO2, TVOC, so! Submitted, for training and testing estimation ; environmental variables ; enclosed spaces ; approach! Each home relative Humidity, light and CO2 angled somewhat down getting,... To an on-site server through a wireless router, all of which are located inside the.. Control of indoor environment using occupant number detected by video data and CO2 H! Each sensor hub is connected to an on-site server through a wireless router all... Systems and occupancy modeling methodologies for the images are provided for the images, zone-based labels are provided for images... Less than 10 were deemed dark and not transferred off of the images, as described by the sensors unexpected! Github Desktop and try again model and API all environmental readings were captured every ten.! Stamped pictures that were taken every minute specifically, we first construct multiple medical heterogeneous... Semantic mesh labelling for urban scene understanding predictive control strategies, residential energy use be! There may be small variations in the 2nd Workshop on Variable combinations have been tried as input features the... This ETHZ CVL RueMonge 2014 dataset used for binary classification ( room )!
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