Wearable Neurotechnology for Inferring the Driver’s Attention for Assistive Driving

Details

• Creators:
  Grover, Pulkit
• Corporate Creators:
  Mobility21, Carnegie Mellon University
• Corporate Contributors:
  United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program
• Subject/TRT Terms:
  • Attention
  • Drivers
  • Electrodes
  • Electroencephalography
  • Assistive technology Neurotechnology
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report
• Corporate Publisher:
  Mobility21, Carnegie Mellon University
• Abstract:
  The work builds on the authors' prior works, on instrumenting electrocephalography (EEG) systems that are accessible and quick and comfortable to apply. Supported by Mobility21, the systems were improved and new recordings were acquired at University of Pittsburgh Medical Center (UPMC) Children’s hospital as well as locally in the lab. This is what is described in this report. In doing so, the authors partnered with Precision Neuroscopics, Inc., a Pittsburgh startup that helped advance their ideas and results. The authors were, however, unable to test these systems using neuroscience experiments for decoding attention because of reduced ability to do experiments with COVID-related lockdowns. In their view, this is acceptable, as many other works show that EEG signals are able to decode attention reliably (for both visual and auditory attention).
• Format:
  PDF
• Funding:
  69A3551747111
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/60725/dot_60725_DS1.pdf
• File Type:
  [PDF - 1.17 MB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:ecbc0bdaa7968733074c1e8ca07675f2c3990083be0b0bc953ffdfc0d68d93f9c780ffc49fbc220cc6b0dbcb0c4e0375e09c24c1e06cffe5872216bfe7864bef