cardiaa / OccupancyDetection

In this project, data mining and time series analysis algorithms are used to predict whether people are present in a room based on physical information such as CO2 or humidity levels in the air.

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

OccupancyDetection

The dataset contains 9358 instances of hourly averaged responses from an array of 5 metal oxide chemical sensors embedded in an Air Quality Chemical Multisensor Device. The device was located on the field in a significantly polluted area, at road level,within an Italian city. Data were recorded from March 2004 to February 2005 (one year) representing the longest freely available recordings of on field deployed air quality chemical sensor devices responses. Ground Truth hourly averaged concentrations for CO, Non Metanic Hydrocarbons, Benzene, Total Nitrogen Oxides (NOx) and Nitrogen Dioxide (NO2) and were provided by a co-located reference certified analyzer. Evidences of cross-sensitivities as well as both concept and sensor drifts are present as described in De Vito et al., Sens. And Act. B, Vol. 129,2,2008 (citation required) eventually affecting sensors concentration estimation capabilities. Missing values are tagged with -200 value. This dataset can be used exclusively for research purposes. Commercial purposes are fully excluded.

About

In this project, data mining and time series analysis algorithms are used to predict whether people are present in a room based on physical information such as CO2 or humidity levels in the air.


Languages

Language:Jupyter Notebook 100.0%