Method and system for mitigating motion sickness in passengers
A method of mitigating motion sickness in a passenger including learning a motion sickness prediction model based on state information of a vehicle or the passenger, reaction information of the passenger, and motion sickness-related information, predicting reactions of the passenger to a current state of the vehicle or the passenger and possibility of motion sickness using the learned motion sickness prediction model, and providing information on the motion sickness mitigation methods to the passenger or controlling the vehicle based on the predicted reactions of the passenger and possibility of motion sickness. The motion sickness-related information includes one or more of a determination result of whether motion sickness occurs to the passenger, motion sickness state information, and motion sickness reaction information.
1 . A method of operating a vehicle having an electrified vehicle (EV) mode and an engine mode, the method comprising:
learning a motion sickness prediction model based on state information of the vehicle or a passenger, reaction information of the passenger, and motion sickness-related information;
predicting reactions of the passenger to a current state of the vehicle or the passenger and a possibility of motion sickness using the learned motion sickness prediction model; and
controlling the vehicle to mitigate motion sickness of the passenger based on the predicted reactions of the passenger and the possibility of motion sickness, wherein the motion sickness-related information comprises one or more of a determination result of whether motion sickness occurs to the passenger, motion sickness state information, and motion sickness reaction information,
wherein the motion sickness state information comprises the state information of the vehicle or the passenger measured before a preset threshold period elapses from when motion sickness occurs to the passenger,
wherein controlling the vehicle comprises:
determining that the vehicle drives in the EV mode,
controlling the vehicle to switch from the EV mode to the engine mode in response to an incidence rate of motion sickness of the passenger exceeding a preset threshold value, and
controlling the vehicle to maintain EV mode in response to the incidence rate of motion sickness of the passenger being less than the preset threshold value, and
wherein the incidence rate of motion sickness comprises a measure of frequency or likelihood of motion sickness occurring during a driving period.
2 . The method of claim 1 , further comprising:
acquiring the state information of the vehicle or the passenger and the reaction information of the passenger; and
generating the motion sickness-related information based on the state information of the vehicle or the passenger and the reaction information of the passenger before learning the motion sickness prediction model.
3 . The method of claim 1 , wherein the motion sickness state information comprises one or more of a frequency of appearance of slopes and inclination of the slopes on a current driving road, a frequency of appearance of speed bumps, information on traffic jams, switching to an engine mode in an electrified vehicle during driving, switching to an EV mode in the electrified vehicle during driving, an RPM of an engine, a specific braking value of the electrified vehicle during driving, a magnitude of change in speed of the vehicle, a driving distance of the vehicle, an interior temperature of the vehicle, and a degree of shaking of the vehicle.
4 . The method of claim 1 , wherein the motion sickness reaction information comprises biometric information of the passenger measured when motion sickness occurs to the passenger and information on body motions of the passenger.
5 . The method of claim 4 , wherein the motion sickness reaction information comprises motion sickness reaction information different from each other according to a type of passenger, identification information of the passenger, and seating method for the passenger.
6 . The method of claim 1 , wherein the motion sickness state information is used for an input of the motion sickness prediction model and the motion sickness reaction information is used for an output of the motion sickness prediction model in the learning of the motion sickness prediction model.
7 . The method of claim 1 , further comprising providing the passenger information, which comprises one or more of an optimal driving route of the vehicle, an optimal rest timing of the vehicle, and an optimized seating method for the passenger.
8 . The method of claim 1 , wherein controlling the vehicle to mitigate motion sickness of the passenger comprises controlling during autonomous or semi-autonomous driving.
9 . The method of claim 1 , wherein controlling the vehicle to mitigate motion sickness of the passenger comprises controlling an air conditioner.
10 . The method of claim 1 , wherein controlling the vehicle to mitigate motion sickness of the passenger comprises controlling a seat temperature.
11 . A system for mitigating motion sickness in a passenger riding in a vehicle, the system comprising:
a motion sickness state learning unit configured to learn a motion sickness prediction model based on state information of the vehicle or the passenger, reaction information of the passenger, and motion sickness-related information;
a motion sickness state prediction unit configured to predict reactions of the passenger to a current state of the vehicle or the passenger and a possibility of motion sickness using the learned motion sickness prediction model; and
a control unit configured to:
control the vehicle to mitigate motion sickness of the passenger based on the predicted reactions of the passenger and possibility of motion sickness;
determine whether the vehicle drives in an electrified vehicle (EV) mode;
control the vehicle, in response to determining that the vehicle drives in the EV mode, to switch from the EV mode to an engine mode in response to an incidence rate of motion sickness of the passenger exceeding a preset threshold value; and
control the vehicle, in response to determining that the vehicle drives in EV mode, to maintain the EV mode in response to the incidence rate of motion sickness of the passenger being less than the preset threshold value, wherein the motion sickness-related information comprises one or more of a determination result of whether motion sickness occurs to the passenger, motion sickness state information, and motion sickness reaction information, wherein the motion sickness state information comprises the state information of the vehicle or the passenger measured before a preset threshold period elapses from when motion sickness occurs to the passenger, and wherein the incidence rate of motion sickness comprises a measure of frequency or likelihood of motion sickness occurring during a driving period.
12 . The system of claim 11 , further comprising:
an information acquisition unit acquiring the state information of the vehicle or the passenger and the reaction information of the passenger; and
a motion sickness state recognition unit generating the motion sickness-related information based on the state information of the vehicle or the passenger and the reaction information of the passenger.
13 . The system of claim 11 , wherein the motion sickness state information comprises one or more of a frequency of appearance of slopes and inclination of the slopes on a current driving road, a frequency of appearance of speed bumps, information on traffic jams, switching to an engine mode in an electrified vehicle during driving, switching to an EV mode in the electrified vehicle during driving, an RPM of an engine, a specific braking value of the electrified vehicle during driving, a magnitude of change in speed of the vehicle, a driving distance of the vehicle, an interior temperature of the vehicle, and a degree of shaking of the vehicle.
14 . The system of claim 11 , wherein the motion sickness reaction information comprises biometric information of the passenger measured when motion sickness occurs to the passenger or information on body motions of the passenger.
15 . The system of claim 14 , wherein the motion sickness reaction information comprises motion sickness reaction information different from each other according to a type of passenger, identification information of the passenger, and seating method for the passenger.
16 . The system of claim 11 , wherein the motion sickness state prediction unit uses the motion sickness state information for an input of the motion sickness prediction model and the motion sickness reaction information for an output of the motion sickness prediction model.
17 . The system of claim 11 , wherein the control unit is configured to provide information on one or more of an optimal driving route of the vehicle, an optimal rest timing of the vehicle, and an optimized seating method for the passenger, or any combination thereof.
18 . The system of claim 11 , wherein the vehicle comprises an autonomous driving vehicle that includes a power unit and wherein the control unit is configured to control the power unit to drive the vehicle in a state to lower the incidence rate of motion sickness during autonomous driving.
19 . The system of claim 11 , further comprising an air conditioner, wherein the control unit is configured to control the air conditioner to mitigate motion sickness of the passenger.
20 . The system of claim 19 , further comprising a passenger seat, wherein the control unit is further configured to control a seat temperature adjustment function of the passenger seat to mitigate motion sickness of the passenger.