Dataset Open Access

Dataset of Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion

Filippeschi, Alessandro; Ruffaldi, Emanuele


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{
  "note": "https://github.com/eruffaldi/imu_comparison_data", 
  "DOI": "10.3390/s17061257", 
  "container_title": "Sensors", 
  "title": "Dataset of Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion", 
  "issued": {
    "date-parts": [
      [
        2017, 
        6, 
        1
      ]
    ]
  }, 
  "abstract": "<p>MATLAB Dataset for the paper.\u00a0</p>\n\n<p>Paper Abstract:</p>\n\n<p>Motion tracking based on commercial inertial measurements units (IMUs) has been widely studied in the latter years as it is a cost-effective enabling technology for those applications in which motion tracking based on optical technologies is unsuitable. This measurement method has a high impact in human performance assessment and human-robot interaction. IMU motion tracking systems are indeed self-contained and wearable, allowing for long-lasting tracking of the user motion in situated environments. After a survey on IMU-based human tracking, five techniques for motion reconstruction were selected and compared to reconstruct a human arm motion. IMU based estimation was matched against motion tracking based on the Vicon marker-based motion tracking system considered as ground truth. Results show that all but one of the selected models perform similarly (about 35 mm average position estimation error).</p>", 
  "author": [
    {
      "family": "Filippeschi, Alessandro"
    }, 
    {
      "family": "Ruffaldi, Emanuele"
    }
  ], 
  "volume": "17", 
  "type": "dataset", 
  "issue": "6", 
  "id": "804402"
}
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