Vehicle seat adjustment systems that move more than one seat in a linked manner are disclosed. A vehicle seat adjustment system for a vehicle includes a front seat of the vehicle, one or more passenger seats behind the front seat, an input device configured to receive an input for adjusting positions of the front seat, a first actuator configured to adjust positions of the front seat, a second actuator configured to adjust positions of the one or more passenger seats, and a controller communicatively coupled to the input device and the first and second actuators. The controller instructs the first actuator to move the front seat in a longitudinal direction for a first distance in response to the received input, and instructs the second actuator to move the one or more passenger seats in the longitudinal direction for a second distance in response to the received input.

A seat control device has a processor configured to determine whether a control transfer demand for transferring driving of a vehicle from a manual control operation to an automatic control operation or from the manual control operation to the automatic control operation has been made, determine whether a seat position of a seat on which a driver is seated is in a displaceable state based on information representing a state of the driver, and displace the seat position from a position for the automatic control operation to a position for the manual control operation or from the position for the manual control operation to the position for the automatic control operation using a seat drive unit when the control transfer demand has been made and the seat position is in the displaceable state.

A profile for an occupant is stored. The profile includes a plurality of clusters of sitting positions for the occupant in a seat and classifications of respective clusters as preferred or nonpreferred. Respective clusters are classified as preferred or nonpreferred based on sitting scores for the respective sitting positions in that cluster. A higher sitting score increases a likelihood of the classification being preferred. A series of pressure maps indicating a respective series of sitting positions of the occupant in the seat are received. The pressure maps include a current pressure map. One of the sitting positions is assigned to one of the clusters that is classified as preferred in response to the sitting score of that sitting position being greater than a threshold score. A physical configuration of the seat is adjusted in response to the current sitting position being in one of the clusters that is classified as nonpreferred.

An occupant knee support device provided in a vehicle includes a knee outer side surface support member and a knee lower surface support member. The knee outer side surface support member is disposed in a side part of the seat surface part in a stored state, protrudes forward and upward beyond the seat surface part in a support state to support an outer side surface of a knee of the occupant. The knee lower surface support member is, in the stored state, provided in a vicinity of a front end part of the seat surface part and separated from a lower surface of the knee of the occupant. The knee lower surface support member is configured to support the lower surface of the knee of the occupant in the supported state.

Various systems and methods are disclosed for anticipating the occurrence and/or mitigating the severity and/or duration of kinetosis experienced by one or more occupants of a vehicle. This is especially while the vehicle is travelling over a road surface and one or more occupants are performing tasks that require visual focus. Also, disclosed are systems and methods for predicting or otherwise determining aspects of head motion and characteristics of the eye motion of an occupant of a vehicle and of using that information to mitigate kinetosis by controlling an aspect of vehicle motion.

Techniques are described for component configuration based on sensor data. Sensor data is collected by sensors in, or proximal to, a system under diagnosis (e.g., a vehicle), the sensor data describing the use of component(s) of the system by individual(s). The sensor data is analyzed (e.g., in real time) to determine an updated configuration for component(s) (e.g., an adjustment to the seat back, lumbar support of a car seat, etc.). The updated configuration may be communicated to the individual as a recommended configuration. In some implementations, the updated configuration may be communicated directly to the component which, on receiving and processing the configuration update, sends signals to various actuators to move the subcomponents of the component into the updated configuration. In some implementations, the sensor data is used to train, through machine learning, a model that provides configuration update(s) for component(s) based on the input sensor data.

Techniques are described for component design based on sensor data. Sensor data is collected by sensors in, or proximal to, a system under diagnosis (e.g., a vehicle), the sensor data describing use of one or more components of the system by one or more individuals. The sensor data from various instances of the component may be aggregated and analyzed to determine update(s) to the design of the component. For example, the aggregate sensor data may be analyzed to identify portions of the component frequently associated with movements by users (e.g., fidgeting, adjustments). The identified portion(s) can be presented graphically in a design view used to specify design modification(s) for the component. In some implementations, the aggregate sensor data is provided as input to a model that is trained, using machine learning, to output design modification(s) for the component based on the input aggregate sensor data.

A system includes a vehicle having a vehicle network and a set of earpieces in operative communication with the vehicle network. The vehicle is configured to assign a plurality of access rights to the user of the set of earpieces based on both the identity of the user and the role of the user. A method for identifying a role of one or more users within a vehicle includes identifying one or more users within the vehicle, identifying the roles of one or more of the users within the vehicle using a set of wireless earpieces, and providing access rights to the one or more users within the vehicle in response to identification of one or more of the users within the vehicle.

An automatic adjustment of a piece of equipment of a motor vehicle is performed in response to detecting the presence of at least one person on at least one seat of the motor vehicle or detecting the absence of a person on a front passenger seat of the motor vehicle. The automatic adjustment of the at least one piece of equipment as a function of the result of the detection.

An autonomous vehicle seat positioning system includes a seat controller connected to a autonomous vehicle controller and a positioning mechanism of a seat assembly. The seat controller is configured to operating the positioning mechanism such that with the autonomous vehicle controller operating the vehicle in a self-driving mode and the vehicle operator's seat assembly being in a reclined setting: in response to the autonomous vehicle controller detecting an emergency condition requiring a change to the manual driving mode, the seat controller operates the positioning mechanism to move the operator's seat assembly from the reclined setting to the upright setting in an emergency re-positioning mode, and in response to the autonomous vehicle controller detecting a non-emergency condition requiring a change to the manual driving mode, the seat controller operates the positioning mechanism to move the operator's seat assembly from the reclined setting to the upright setting in a non-emergency re-positioning mode.