Evaluation of underfloor accelerometers through fingerprinting for indoor localization

<div><strong>Fingerprinting</strong></div> <div>Code developed to test the effectiveness of an indoor positioning system where multiple accelerometers are placed under the floor and set up to collect data.&nbsp;This material complements the work done for the paper "Evaluation of Underfloor Accelerometers for Enabling Location-based Services in Intelligent Environments"&nbsp;</div> <div>and helps readers to reproduce and validate the results presented in that paper.&nbsp;</div> <div>&nbsp;</div> <p><strong>What the code does</strong><br>The execution of the main code performs the following:<br>1. generation of sensor maps through their absolute coordinates;<br>2. noise reduction on the raw data according to the average of the stress the accelerometers are subjected at quiet;<br>3. generation of the fingerprint maps per each data set;<br>4. generation of the clean ground truth files (deleting coordinates set to zero);<br>5. computation of the n-dimensional distance between observations at a given time step and the euclidean error between the minimum distance value coordinates and the respective temporally closest ground truth ones;<br>6. same as in 5 but with intra-user fingerprint maps;<br>7. same as in 5 but with inter-user fingerprint maps;<br>8. same as in 5 but with enhanced inter-user fingerprint maps.</p> <p><strong>To run the code please read the file README.md</strong></p>