Dataset Open Access

Micro-power Pulse-Doppler Radar Clutter and Displacement Source Classification Dataset

Dhrubojyoti Roy; Sangeeta Srivastava; Aditya Kusupati; Pranshu Jain; Manik Varma; Anish Arora


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{
  "description": "<p>This is the official dataset for the ACM BuildSys 2019 publication&nbsp;<em>One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification.</em></p>\n\n<p>The training code for MSC-RNN can be found at&nbsp;<a href=\"https://github.com/dhruboroy29/MSCRNN\">https://github.com/dhruboroy29/MSCRNN</a></p>\n\n<p>Kindly cite this work as:</p>\n\n<pre><code>@inproceedings{roy2019one,\n\u00a0 title={One size does not fit all: Multi-scale, cascaded RNNs for radar classification},\n\u00a0 author={Roy, Dhrubojyoti and Srivastava, Sangeeta and Kusupati, Aditya and Jain, Pranshu and Varma, Manik and Arora, Anish},\n\u00a0 booktitle={Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation},\n\u00a0 pages={1--10},\n\u00a0 year={2019}\n}</code></pre>\n\n<p>&nbsp;</p>", 
  "license": "http://creativecommons.org/licenses/by-sa/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "The Ohio State University", 
      "@type": "Person", 
      "name": "Dhrubojyoti Roy"
    }, 
    {
      "affiliation": "The Ohio State University", 
      "@type": "Person", 
      "name": "Sangeeta Srivastava"
    }, 
    {
      "affiliation": "University of Washington, Microsoft Research India", 
      "@type": "Person", 
      "name": "Aditya Kusupati"
    }, 
    {
      "affiliation": "Indian Institute of Technology Delhi", 
      "@type": "Person", 
      "name": "Pranshu Jain"
    }, 
    {
      "affiliation": "Microsoft Research India, Indian Institute of Technology Delhi", 
      "@type": "Person", 
      "name": "Manik Varma"
    }, 
    {
      "affiliation": "The Ohio State University, The Samraksh Company", 
      "@type": "Person", 
      "name": "Anish Arora"
    }
  ], 
  "sameAs": [
    "https://arxiv.org/abs/1909.03082"
  ], 
  "datePublished": "2019-09-19", 
  "url": "https://zenodo.org/record/3451408", 
  "keywords": [
    "recurrent neural network", 
    "radar", 
    "system on a chip", 
    "sensor network"
  ], 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/34777dbb-edfa-4aff-ab40-22742fc9fe47/Original_Cuts.zip", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/34777dbb-edfa-4aff-ab40-22742fc9fe47/Windowed_Data.zip", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
    }
  ], 
  "identifier": "https://doi.org/10.5281/zenodo.3451408", 
  "@id": "https://doi.org/10.5281/zenodo.3451408", 
  "@type": "Dataset", 
  "name": "Micro-power Pulse-Doppler Radar Clutter and Displacement Source Classification Dataset"
}
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