Cognitive state supported automotive travel
US-2015120081-A1 · Apr 30, 2015 · US
US2016016473A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016016473-A1 |
| Application number | US-201414335981-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jul 21, 2014 |
| Priority date | Jul 21, 2014 |
| Publication date | Jan 21, 2016 |
| Grant date | — |
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An in-vehicle computer is programmed to determine that a driver's hands are at least one predetermined location in the vehicle, the at least one predetermine location including a location on a steering wheel, determine that a vehicle passenger is in a safe position with respect to a human-machine interface; and provide passenger access to the human-machine interface such that the passenger may access operations of the computer that are inaccessible to the driver.
Opening claim text (preview).
1 . A system, comprising an in-vehicle computer comprising a processor and a memory, wherein the in-vehicle computer is programmed to: determine that a driver's hands are at least one predetermined location in the vehicle, the at least one predetermine location including a location on a steering wheel; determine that a vehicle passenger is in a safe position with respect to a human-machine interface; and provide passenger access to the human-machine interface such that the passenger may access operations of the computer that are inaccessible to the driver. 2 . The system of claim 1 , wherein the at least one predetermined location further includes a vehicle gearshift knob. 3 . The system of claim 1 , further comprising a plurality of sensors to provide the inputs for determining whether a driver's hands are at the at least one predetermined location. 4 . The system of claim 3 , wherein the sensors include at least one of a plurality of electrocardiogram sensors and at least one capacitive sensor. 5 . The system of claim 3 , wherein the sensors include a sensor in a display of the human machine interface. 6 . The system of claim 3 , wherein the computer is further programmed to perform a validation to determine whether signals from the sensors represent a human heartbeat. 7 . The system of claim 1 , further comprising a plurality of sensors to provide the inputs for determining whether a passenger is in the safe position. 8 . The system of claim 7 , wherein the sensors include at least one of a weight sensor, a camera, and a sensor included in an occupant classification system (OCS). 9 . The system of claim 1 , wherein the computer is further programmed to: determine that the driver is coaching the passenger with respect to operation of the human-machine interface; and revoke the passenger's access to the operations of the computer that are inaccessible to the driver. 10 . The system of claim 1 , wherein determining that a driver's hands are at the at least one predetermined location includes determining that palms and fingers of both of the driver's hands are on the steering wheel. 11 . The system of claim 1 , wherein the human-machine interface includes at least one of a visual display, a touchscreen, a speaker, and a microphone. 12 . A method, comprising: determining that a driver's hands are at least one predetermined location in a vehicle, the at least one predetermine location including a location on a steering wheel; determining that a vehicle passenger is in a safe position with respect to a human-machine interface; and providing passenger access to the human-machine interface such that the passenger may access operations of the computer that are inaccessible to the driver. 13 . The method of claim 12 , wherein the at least one predetermined location further includes a vehicle gearshift knob. 14 . The method of claim 12 , wherein a plurality of sensors provide the inputs for determining whether a driver's hands are at the at least one predetermined location. 15 . The method of claim 14 , wherein the sensors include at least one of a plurality of electrocardiogram sensors and at least one capacitive sensor. 16 . The method of claim 14 , wherein the sensors include a sensor in a display of the human machine interface. 17 . The method of claim 14 , further comprising performing a validation to determine whether signals from the sensors represent a human heartbeat. 18 . The method of claim 12 , wherein a plurality of sensors provide the inputs for determining whether a passenger is in the safe position. 19 . The method of claim 18 , wherein the sensors include at least one of a weight sensor, a camera, and a sensor included in an occupant classification system (OCS). 20 . The method of claim 12 , further comprising: determining that the driver is coaching the passenger with respect to operation of the human-machine interface; and revoking the passenger's access to the operations of the computer that are inaccessible to the driver. 21 . The method of claim 12 , wherein determining that a driver's hands are at the at least one predetermined location includes determining that palms and fingers of both of the driver's hands are on the steering wheel. 22 . The method of claim 12 , wherein the human-machine interface includes at least one of a visual display, a touchscreen, a speaker, and a microphone.
Limiting control by the driver depending on vehicle state, e.g. interlocking means for the control input for preventing unsafe operation · CPC title
to restrict the functionality of the device · CPC title
Incapacity · CPC title
Input parameters relating to occupants · CPC title
Longitudinal speed · CPC title
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