{
  "$type": "site.standard.document",
  "coverImage": {
    "$type": "blob",
    "ref": {
      "$link": "bafkreiebhh2nke7s43jucvh6vb2p5cleg4vycyv6fgnsa5zclcrg2jrzki"
    },
    "mimeType": "image/png",
    "size": 122366
  },
  "description": "A vehicle system includes a controller programmed to display a plurality of icons on a HUD of the vehicle, receive EEG data from a driver of the vehicle, perform a Fast Fourier Transform of the EEG data to obtain an EEG spectrum, input the EEG spectrum into a trained machine learning model…",
  "path": "/patents/1365043",
  "publishedAt": "2024-06-20T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60K35/00",
    "Toyota Motor Engineering & Manufacturing North America, Inc."
  ],
  "textContent": "A vehicle system includes a controller programmed to display a plurality of icons on a HUD of the vehicle, receive EEG data from a driver of the vehicle, perform a Fast Fourier Transform of the EEG data to obtain an EEG spectrum, input the EEG spectrum into a trained machine learning model, determine which of the plurality of icons the driver is viewing based on an output of the trained machine learning model, and perform one or more vehicle operations based on the output of the trained machine learning model.",
  "title": "CLOSED-LOOP REAL TIME SSVEP-BASED HEADS-UP DISPLAY TO CONTROL IN VEHICLE FEATURES USING DEEP LEARNING"
}