{
  "id": 228074,
  "title": "Smart indoor localization using machine learning techniques (2014)",
  "url": "/competitions/indoor-location-navigation/discussion/228074",
  "author_name": "Gabriel Preda",
  "post_date": "2021-03-23T09:21:08.287000",
  "votes": 11,
  "comment_count": 0,
  "views": 0,
  "content": "<p>While doing my research on indoor localization, I found this Master thesis <strong>Smart Indoor Localization using Machine Learning Techniques</strong> by Viney Anand Ugave, from Colorado State University (2014).</p>\n<p>Here it is: <a href=\"https://mountainscholar.org/bitstream/handle/10217/84567/Ugave_colostate_0053N_12485.pdf?sequence=1\" target=\"_blank\">Smart Indoor Localization using Machine Learning Techniques</a></p>\n<p>In Appendix A (from page 76), is included the code for:</p>\n<ul>\n<li>(A.1) inertial navigation techniques i.e the Classic and Sensor Fusion techniques; </li>\n<li>(A.2) (A.3) step detection algorithm;</li>\n<li>(A.4) Wi-Fi scan activity to collect fingerprints;</li>\n<li>(A.5) main Activity in the LearnLoc Android application;</li>\n<li>(A.6) to (A.9) three strategies that use the KNN, ANN and Linear Regression algorithms.</li>\n</ul>",
  "messages": [
    {
      "id": 1249393,
      "postDate": "2021-03-23T09:21:08.287Z",
      "content": "<p>While doing my research on indoor localization, I found this Master thesis <strong>Smart Indoor Localization using Machine Learning Techniques</strong> by Viney Anand Ugave, from Colorado State University (2014).</p>\n<p>Here it is: <a href=\"https://mountainscholar.org/bitstream/handle/10217/84567/Ugave_colostate_0053N_12485.pdf?sequence=1\" target=\"_blank\">Smart Indoor Localization using Machine Learning Techniques</a></p>\n<p>In Appendix A (from page 76), is included the code for:</p>\n<ul>\n<li>(A.1) inertial navigation techniques i.e the Classic and Sensor Fusion techniques; </li>\n<li>(A.2) (A.3) step detection algorithm;</li>\n<li>(A.4) Wi-Fi scan activity to collect fingerprints;</li>\n<li>(A.5) main Activity in the LearnLoc Android application;</li>\n<li>(A.6) to (A.9) three strategies that use the KNN, ANN and Linear Regression algorithms.</li>\n</ul>",
      "rawMarkdown": "While doing my research on indoor localization, I found this Master thesis **Smart Indoor Localization using Machine Learning Techniques** by Viney Anand Ugave, from Colorado State University (2014).\n\nHere it is: [Smart Indoor Localization using Machine Learning Techniques](https://mountainscholar.org/bitstream/handle/10217/84567/Ugave_colostate_0053N_12485.pdf?sequence=1)\n\nIn Appendix A (from page 76), is included the code for:\n* (A.1) inertial navigation techniques i.e the Classic and Sensor Fusion techniques; \n* (A.2) (A.3) step detection algorithm;\n* (A.4) Wi-Fi scan activity to collect fingerprints;\n* (A.5) main Activity in the LearnLoc Android application;\n* (A.6) to (A.9) three strategies that use the KNN, ANN and Linear Regression algorithms.\n\n",
      "votes": 11
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1249393": "While doing my research on indoor localization, I found this Master thesis **Smart Indoor Localization using Machine Learning Techniques** by Viney Anand Ugave, from Colorado State University (2014).\n\nHere it is: [Smart Indoor Localization using Machine Learning Techniques](https://mountainscholar.org/bitstream/handle/10217/84567/Ugave_colostate_0053N_12485.pdf?sequence=1)\n\nIn Appendix A (from page 76), is included the code for:\n* (A.1) inertial navigation techniques i.e the Classic and Sensor Fusion techniques; \n* (A.2) (A.3) step detection algorithm;\n* (A.4) Wi-Fi scan activity to collect fingerprints;\n* (A.5) main Activity in the LearnLoc Android application;\n* (A.6) to (A.9) three strategies that use the KNN, ANN and Linear Regression algorithms.\n\n"
  }
}