Drowsy driver detection
US-2016311440-A1 · Oct 27, 2016 · US
US9914359B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9914359-B2 |
| Application number | US-201514833188-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 24, 2015 |
| Priority date | Jun 10, 2015 |
| Publication date | Mar 13, 2018 |
| Grant date | Mar 13, 2018 |
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Official abstract text for this publication.
A vehicle can be controlled based on feedback from a driver of the vehicle when a mobile device is connected to a computer system. A profile for a driver can be used. The system can receive data about the driver from the mobile device. The data and answers can be sent to a natural language processing (NLP) system for analysis. The NLP system can return a determination that the user is cognitively disengaged, and thus unable to safely drive the vehicle. The system can then control the vehicle.
Opening claim text (preview).
What is claimed is: 1. A computer implemented method for controlling a vehicle based on feedback from a driver of the vehicle, the method comprising: connecting to a user device, the user device associated with the driver of the vehicle and connected to the vehicle; accessing, based on the connecting, a profile associated with the driver of the vehicle, the profile including information regarding the driver's medical conditions; receiving, from the user device, data about the driver of the vehicle; sending, to a natural language processing (NLP) system, the NLP system configured to process unstructured textual data, the data about the driver of the vehicle and the profile; receiving, from the NLP system, a determination based on data, including unstructured textual data, that the driver is cognitively disengaged; transfer, based on the determination, control of the vehicle to an automated control node within the vehicle; in response to receiving the determination that the driver is cognitively disengaged, determining a severity of the driver's cognitive disengagement; determining, based on the severity, one or more contacts associated with the driver to contact; and notifying the one or more contacts of the driver's cognitive disengagement. 2. The method of claim 1 , further comprising: sending, based on the profile, prompts to the user device; receiving, in response to the prompts, input from the user device; and sending, to the NLP system, the input from the user device. 3. The method of claim 2 wherein the prompts comprise questions designed to test cognitive abilities of the driver. 4. The method of claim 1 further comprising: notifying, based on the controlling, one or more contacts associated with the driver of the vehicle. 5. The method of claim 1 , wherein controlling the vehicle comprises shutting off an engine of the vehicle. 6. The method of claim 1 , wherein controlling the vehicle comprises initiating transfer of control of the vehicle to an automated control node in the vehicle. 7. The method of claim 1 , wherein the data about the driver of the vehicle comprises data collected from sensors on the user device and from the vehicle. 8. The method of claim 1 , wherein the data about the driver of the vehicle comprises historical usage data, relative to driving patterns. 9. The method of claim 1 further comprising: receiving, in response to the controlling and from the user device, additional data about the driver of the vehicle; sending, to the NLP system, the additional data about the driver; receiving, from the NLP system, a determination that the driver is cognitively engaged; initiating transfer of control of the vehicle to the driver.
related to drivers or passengers · CPC title
Recognition of textual entities · CPC title
Handling natural language data (speech analysis or synthesis, speech recognition G10L) · CPC title
Inactivity or incapacity of driver · CPC title
Driver physiology · CPC title
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