Personalization settings based on body measurements
A system and method for personalization of adjustable features of a vehicle. The system includes a processor and an actuator. The processor detectors key points of a person from a two-dimensional image and predicts a pose of the person. The processor translates a respective position of the key points from a two-dimensional coordinate system to a three-dimensional coordinate system based in part on the pose and measurements of distances between the key points. The processor determines a baseline configuration of an adjustable feature of the vehicle based in part on measurements between the key points in the three-dimensional coordinate system. The processor causes an actuator to adjust the adjustable feature to conform to the baseline configuration.
1. A method for personalization of adjustable features of a vehicle, the method comprising:
capturing a two-dimensional image of a person with a camera;
processing, by a processor, the two-dimensional image to detect key points of the person comprising extracting coordinates of the key points with a neural network and predict a pose of the person using a classifier;
translating, by the processor, the positions of the key points from a two-dimensional coordinate system to a three-dimensional coordinate system, comprising converting two-dimensional coordinates to three dimensional coordinates using the positions of the two-dimensional key points, parameters of the camera, and constraints based upon the predicted pose;
determining, by the processor, a baseline configuration of an adjustable feature of the vehicle based in part on measurements between the key points in the three-dimensional coordinate system; and
causing, by the processor, an actuator to adjust the adjustable feature of the vehicle to conform to the baseline configuration.
2. The method of claim 1 , wherein the adjustable feature of the vehicle is one of seat, a side mirror, or a rear-view mirror.
3. The method of claim 1 , wherein the pose is one of standing, sitting, and walking.
4. The method of claim 1 , wherein the measurements are based in part on the pose.
5. The method of claim 1 further comprising:
associating the baseline configuration of the adjustable feature of the vehicle with an identity of the person; and
storing the associated identity and baseline configuration in a remote database.
6. The method of claim 1 further comprising:
recording a change in the adjustable feature of the vehicle from the baseline configuration by the person; and
updating the baseline configuration in the database, based on the change to the adjustable feature of the vehicle exceeding a threshold amount.
7. A system for personalization of adjustable features of a vehicle, the system comprising:
a camera for capturing a two-dimensional image of a person;
a memory having computer readable instructions; and
a processor for executing the computer readable instructions, the computer readable instructions controlling the one or more processors to perform operations comprising:
processing, by the processor, the two-dimensional image to detect key points of the person comprising extracting coordinates of the key points with a neural network and predict a pose of the person using a classifier;
translating, by the processor, the positions of the key points from a two-dimensional coordinate system to a three-dimensional coordinate system and measurements of distances between the key points, comprising converting two-dimensional coordinates to three dimensional coordinates using the positions of the two-dimensional key points, parameters of the camera, and constraints based upon the predicted pose;
determining, by the processor, a baseline configuration of an adjustable feature of the vehicle based in part on measurements between the key points in the three-dimensional coordinate system; and
causing, by the processor, an actuator to adjust the adjustable feature of the vehicle to conform to the baseline configuration.
8. The system of claim 7 , wherein the adjustable feature of the vehicle is one of a seat, side view mirror, or a rear-view mirror.
9. The system of claim 7 , wherein the pose is one of standing, sitting, and walking.
10. The system of claim 7 , wherein the measurements are based in part on the pose.
11. The system of claim 7 , the operations further comprise:
associating the baseline configuration of the adjustable feature of the vehicle with an identity of the person; and
storing the associated identity and baseline configuration in a remote database.
12. The system of claim 7 , the operations further comprising:
recording a change in the adjustable feature of the vehicle from the baseline configuration by the person; and
updating the baseline configuration in the database, based change to the adjustable feature of the vehicle exceeding a threshold amount.
13. A computer program product comprising a computer readable storage medium having program instructions embodied therein, the program instructions executable by a processor to cause the processor to perform operations comprising:
processing, by the processor, the two-dimensional image from a camera to detect key points of the person comprising extracting coordinates of the key points with a neural network and predict a pose of the person using a classifier;
translating, by the processor, the positions of the key points from a two-dimensional coordinate system to a three-dimensional coordinate system and measurements of distances between the key points, comprising converting two-dimensional coordinates to three dimensional coordinates using the positions of the two-dimensional key points, parameters of the camera, and constraints based upon the predicted pose;
determining, by the processor, a baseline configuration of an adjustable feature of the vehicle based in part on measurements between the key points in the three-dimensional coordinate system; and
causing, by the processor, an actuator to adjust the adjustable feature of the vehicle to conform to the baseline configuration.
14. The computer program product of claim 13 , wherein the adjustable feature of the vehicle is one of a seat, side view mirror, or a rear-view mirror.
15. The computer program product of claim 13 , wherein the pose is at least one of standing, sitting, and walking.
16. The computer program product of claim 13 , wherein the measurements are based in part on the pose.
17. The computer program product of claim 13 , the operations further comprising:
associating the baseline configuration of the adjustable feature of the vehicle with an identity of the person; and
storing the associated identity and baseline configuration in a remote database.
18. The method of claim 1 wherein the parameters of the camera comprise a focal length, a principal point offset, a rotational matrix and a translational matrix.
19. The system of claim 7 , wherein the parameters of the camera comprise a focal length, a principal point offset, a rotational matrix and a translational matrix.
20. The computer program product of claim 13 , wherein the parameters of the camera comprise a focal length, a principal point offset, a rotational matrix and a translational matrix.