Automated driving based on driver frustration
US-2022034678-A1 · Feb 3, 2022 · US
US11794752B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11794752-B2 |
| Application number | US-202117201606-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 15, 2021 |
| Priority date | Mar 19, 2020 |
| Publication date | Oct 24, 2023 |
| Grant date | Oct 24, 2023 |
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A recommendation presenting system is provided, which includes: a personal authentication unit for identifying a driver who drives a host vehicle; a live body information detection unit configured to detect the driver's live body information; a determining unit for using a notification model, which is to specify information about an action advised, from the live body information, to the driver who is each driver authenticated by the personal authentication unit to determine information about an action in response to the live body information detected by the live body information detection unit; a notifier unit for notifying the driver about notification details including the information about the action determined by the determining unit; an action detection unit for detecting an action outcome of the driver who has received the notification details; and a learning unit for training the notification model by using the action outcome to update the notification model.
Opening claim text (preview).
The invention claimed is: 1. A recommendation presenting system comprising: a personal authentication unit configured to identify a driver who drives a personal vehicle; a live body information detection unit configured to detect the driver's live body information; a memory unit configured to store a notification model for specifying information about an action advised from the live body information to the driver who is each driver authenticated by the personal authentication unit; a determining unit configured to determine, based on the notification model read from the memory unit, the information about the action in response to the live body information detected by the live body information detection unit; an operation information detection unit configured to detect operation information including an operation continuation period and a stopping period about the personal vehicle; a rest determination unit configured to determine that the driver has taken a rest when the personal vehicle restarts after stopping for a predetermined period with reference to the operation information; a notifier unit configured to notify the driver about notification details including the information about the action determined by the determining unit when the rest determination unit did not determine that the driver has taken the rest; an action detection unit configured to detect an action outcome of the driver who has received the notification details; and a learning unit configured to train the notification model by using the action outcome to update the notification model. 2. The recommendation presenting system according to claim 1 , wherein the live body information detection unit is configured to detect the live body information from a wearable device worn by the driver. 3. The recommendation presenting system according to claim 1 , wherein the personal authentication unit is configured to acquire, from a user terminal possessed by the driver, identification information to identify the driver. 4. A method of presenting a recommendation by using a recommendation presenting system including a personal authentication unit, a live body information detection unit, a memory unit, a determining unit, an operation information detection unit, a rest determination unit, a notifier unit, an action detection unit, and a learning unit, the method comprising: identifying a driver who drives a personal vehicle by the personal authentication unit; detecting live body information about the driver by the live body information detection unit; storing, in the memory unit, a notification model for specifying information about an action advised from the live body information to the driver who is each driver authenticated by the personal authentication unit; causing the determining unit to determine, based on the notification model read from the memory unit, the information about the action in response to the live body information detected by the live body information detection unit; detecting operation information including an operation continuation period and a stopping period about the personal vehicle by the operation information detection unit; determining that the driver has taken a rest when the personal vehicle restarts after stopping for a predetermined period with reference to the operation information by the rest determination unit; notifying, by the notifier unit, the driver about notification details including the information about the action determined by the determining unit when the rest determination unit determines that the driver has not taken the rest; causing the action detection unit to detect an action outcome of the driver who has received the notification details; and training, in the learning unit, the notification model by using the action outcome to update the notification model. 5. A recommendation presenting system comprising: a personal authentication unit configured to identify a driver who drives a personal vehicle; a live body information detection unit configured to detect the driver's live body information; a memory unit configured to store a notification model for specifying information about an action advised from the live body information to the driver who is each driver authenticated by the personal authentication unit; a determining unit configured to determine, based on the notification model read from the memory unit, the information about the action in response to the live body information detected by the live body information detection unit; a positional information detection unit configured to detect positional information about the personal vehicle; a facility determination unit configured to determine, based on the positional information and a destination of the personal vehicle, whether or not a predetermined facility exists within a predetermined distance in a travelling direction of the personal vehicle; a notifier unit configured to notify, regardless of the driver's live body information, the driver about notification details including the information about the action determined by the determining unit, when the predetermined facility does not exist within the predetermined distance; an action detection unit configured to detect an action outcome of the driver who has received the notification details; and a learning unit configured to train the notification model by using the action outcome to update the notification model.
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