Patent ID: 11912216
Assignee: EMOTION3D GMBH
Field: Computer technology (Electrical engineering)
Classification: CPC B  G | IPC B  G

Claim 0:
1. A method for adjusting or controlling at least one vehicle component of a vehicle, comprising:
capturing an image or a video of a sitting person in the vehicle through an image capturing unit in 2D or 3D arranged in the vehicle,
extracting body data of the person through a data processing unit arranged in the vehicle and generation of a body data model from the body data through a data processing unit, wherein body data indicative of a plurality of defined key points of the body, the plurality of defined key points of the body are of at least one of: wrist joints, arm joints, sternum, shoulder joints, knee joints, elbow joints, hip joints, and head centre points,
by a software module in a memory of the data processing unit accessing a database to obtain a plurality of reference body poses, comparing them to the body data model and select a corresponding reference body pose accordingly, wherein the plurality of reference body poses are indicative of a determined arrangements and positions of a plurality of defined key points of the body and their spatial positions in relation to each other,
activating at least one vehicle actuator assigned to the selected reference body pose with a setting of the actuator assigned to the selected reference body pose through an activation unit for adjusting or controlling the at least one vehicle component of the vehicle,
wherein the at least one vehicle actuator is in the vehicle and
the body data model is generated in form of a table with two-dimensional coordinates of key points of the body or in form of graphs with connecting lines in between the detected key points in the data processing unit, wherein
the comparison of the body data model with the reference body poses and the selection of a corresponding reference body pose is carried out by the software module in a memory of the data processing unit which applies a matching algorithm or a machine learning classification method.