{
  "id": 586047,
  "title": "Graph-based modeling-GNN and precise gesture prediction",
  "url": "/competitions/cmi-detect-behavior-with-sensor-data/discussion/586047",
  "author_name": "Amer",
  "post_date": "2025-06-24T18:13:08.687000",
  "votes": 5,
  "comment_count": 0,
  "views": 0,
  "content": "<p>For those who experimented with <strong>graph-based modeling-GNN</strong> to capture sensor interrelationships, what interaction patterns across sensor channels did the model learn (like IMU–ToF) ? and are we required to predict the <strong>exact gesture</strong> as it seems unfeasible?</p>",
  "messages": [
    {
      "id": 3231673,
      "postDate": "2025-06-24T18:13:08.687Z",
      "content": "<p>For those who experimented with <strong>graph-based modeling-GNN</strong> to capture sensor interrelationships, what interaction patterns across sensor channels did the model learn (like IMU–ToF) ? and are we required to predict the <strong>exact gesture</strong> as it seems unfeasible?</p>",
      "rawMarkdown": "For those who experimented with **graph-based modeling-GNN** to capture sensor interrelationships, what interaction patterns across sensor channels did the model learn (like IMU–ToF) ? and are we required to predict the **exact gesture** as it seems unfeasible?",
      "votes": 4
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "3231673": "For those who experimented with **graph-based modeling-GNN** to capture sensor interrelationships, what interaction patterns across sensor channels did the model learn (like IMU–ToF) ? and are we required to predict the **exact gesture** as it seems unfeasible?"
  }
}