Motion sickness detection system for autonomous vehicles
US-2022001893-A1 · Jan 6, 2022 · US
US11710216B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11710216-B2 |
| Application number | US-202016928604-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 14, 2020 |
| Priority date | Jul 14, 2020 |
| Publication date | Jul 25, 2023 |
| Grant date | Jul 25, 2023 |
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The subject disclosure relates to solutions for reducing or eliminating motion sickness experienced by a vehicle occupant/passenger. In some aspects, a process of the disclosed technology includes steps for collecting motion data associated with a vehicle using one or more environmental sensors, tracking eye movements of a user within a cabin of the vehicle, processing the motion data and the eye movements to identify a motion event, and generating a motion compensation signal based on the motion event. Systems and machine-readable media are also provided.
Opening claim text (preview).
What is claimed is: 1. A computer-implemented method for generating a motion compensation signal, comprising: collecting motion data associated with a vehicle progressing along a route using one or more environmental sensors, wherein the collected motion data is associated with data pertaining to a route ahead of the vehicle; tracking eye movements of a user within a cabin of the vehicle along the route using the one or more environmental sensors, wherein the tracking is associated with the collected motion data; processing the motion data and the eye movements to predict a motion event identified by the one or more environmental sensors and the tracking of the eye movements, the motion event related to an upcoming vehicle maneuver along the route of the vehicle, a direction of the eye movements of the user, and a timing of an occurrence of the eye movements in relation to the route ahead of the vehicle; and generating the motion compensation signal based on the prediction of the motion event. 2. The computer-implemented method of claim 1 , wherein the motion compensation signal is configured to adjust a blur filter applied to graphics displayed on one or more display screens inside the cabin of the vehicle. 3. The computer-implemented method of claim 1 , wherein the motion compensation signal is configured to adjust a position of one or more display screens inside the cabin of the vehicle. 4. The computer-implemented method of claim 1 , wherein the one or more environmental sensors comprises at least one of: a gyroscope or an accelerometer. 5. The computer-implemented method of claim 1 , wherein the one or more environmental sensors comprises at least one of: a camera, or a Light Detection and Ranging (LiDAR) sensor. 6. The computer implemented method of claim 1 , wherein tracking the eye movements of the user further comprises: identifying a centroid region of the user's gaze on a display screen in the cabin of the vehicle. 7. The computer implemented method of claim 1 , further comprising: transmitting the motion compensation signal to a mobile device associated with the user. 8. A system comprising: one or more processors; and a computer-readable medium comprising instructions stored therein, which when executed by the processors, cause the processors to perform operations comprising: collecting motion data associated with a vehicle progressing along a route using one or more environmental sensors, wherein the collected motion data is associated with data pertaining to a route ahead of the vehicle; tracking eye movements of a user within a cabin of the vehicle along the route using the one or more environmental sensors, wherein the tracking is associated with the collected motion data; processing the motion data and the eye movements to predict a motion event identified by the one or more environmental sensors and the tracking of the eye movements, related to an upcoming vehicle maneuver along the route of the vehicle, a direction of the eye movements of the user, and a timing of an occurrence of the eye movements in relation to the route ahead of the vehicle; and generating a motion compensation signal based on the prediction of the motion event. 9. The system of claim 8 , wherein the motion compensation signal is configured to adjust a blur filter applied to graphics displayed on one or more display screens inside the cabin of the vehicle. 10. The system of claim 8 , wherein the motion compensation signal is configured to adjust a position of one or more display screens inside the cabin of the vehicle. 11. The system of claim 8 , wherein the one or more environmental sensors comprises at least one of: a gyroscope or an accelerometer. 12. The system of claim 8 , wherein the one or more environmental sensors comprises at least one of: a camera, or a Light Detection and Ranging (LiDAR) sensor. 13. The system of claim 8 , wherein tracking the eye movements of the user further comprises: identifying a centroid region of the user's gaze on a display screen in the cabin of the vehicle. 14. The system of claim 8 , wherein the processors are further configured to perform operations comprising: transmitting the motion compensation signal to a mobile device associated with the user. 15. A non-transitory computer-readable storage medium comprising instructions stored therein, which when executed by one or more processors, cause the processors to perform operations comprising: collecting motion data associated with a vehicle progressing along a route using one or more environmental sensors, wherein the collected motion data is associated with data pertaining to a route of the vehicle; tracking eye movements of a user within a cabin of the vehicle, along the route using the one or more environmental sensors, wherein the tracking is associated with the collected motion data; processing the motion data and the eye movements to predict a motion event identified by the one or more environmental sensors and the tracking of the eye movements, related to an upcoming vehicle maneuver along the route of the vehicle, a direction of the eye movements of the user, and a timing of an occurrence of the eye movements in relation to the route ahead of the vehicle; and generating a motion compensation signal based on the prediction of the motion event. 16. The non-transitory computer-readable storage medium of claim 15 , wherein the motion compensation signal is configured to adjust a blur filter applied to graphics displayed on one or more display screens inside the cabin of the vehicle. 17. The non-transitory computer-readable storage medium of claim 15 , wherein the motion compensation signal is configured to adjust a position of one or more display screens inside the cabin of the vehicle. 18. The non-transitory computer-readable storage medium of claim 15 , wherein the one or more environmental sensors comprises at least one of: a gyroscope or an accelerometer. 19. The non-transitory computer-readable storage medium of claim 15 , wherein the one or more environmental sensors comprises at least one of: a camera, or a Light Detection and Ranging (LiDAR) sensor. 20. The non-transitory computer-readable storage medium of claim 15 , wherein tracking the eye movements of the user further comprises: identifying a centroid region of the user's gaze on a display screen in the cabin of the vehicle.
using haptic output · CPC title
characterised by the type of the output information, e.g. video entertainment or vehicle dynamics information; characterised by the purpose of the output information, e.g. for attracting the attention of the driver · CPC title
Display screens · CPC title
Movable instruments, e.g. slidable · CPC title
Instrument input by detecting viewing direction not otherwise provided for · CPC title
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