{
"$type": "site.standard.document",
"description": "A method of classifying, by an apparatus including a processor and a memory, a subject-independent driver state according to an embodiment of the present disclosure may include (a) learning a state classification model that receives one or more drivers' bio-signal data from a database to output theā¦",
"path": "/patents/1364672",
"publishedAt": "2024-06-13T00:00:00.000Z",
"site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
"tags": [
"A61B5/18",
"KOREA UNIVERSITY RESEARCH AND BUSINESS FOUNDATION"
],
"textContent": "A method of classifying, by an apparatus including a processor and a memory, a subject-independent driver state according to an embodiment of the present disclosure may include (a) learning a state classification model that receives one or more drivers' bio-signal data from a database to output the drivers' state classification (b) receiving a new driver's bio-signal, (c) preprocessing the received new driver's bio-signal, and (d) inputting the preprocessed new driver's bio-signal to the state classification model to output the driver's state classification result, wherein the bio-signal is at least one of an electroencephalogram (EEG), an electrooculogram (EOG), an electrocardiogram (ECG), and a photoplethysmogram (PPG).",
"title": "METHOD AND APPARATUS FOR CLASSIFYING SUBJECT INDEPENDENT DRIVER STATE USING BIO-SIGNAL"
}