Systems, methods, and computer-readable media are disclosed for optimized driver seat and pedal positioning using ulna length. An example method may include determining, at a first time and using a sensor of a vehicle, an ulna length of a vehicle user. The example method may also include automatically adjusting a seating position of the vehicle user to a first seating position based on the ulna length of the vehicle user.

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.

A vehicle control device includes a vibration information detection device that detects information relating to vibration of a seat, a drowsiness detection device that detects a state related to drowsiness of an occupant in the seat, and a controller that controls an active suspension. The controller includes a processor. The processor determines, based on detection results from the drowsiness detection device, whether a specific occupant, who is an occupant that is not a driver during manual driving, is asleep or falling asleep. When determining that the specific occupant is asleep or falling asleep, and determining that the vibration of the seat is less than the predetermined value, the processor controls the active suspension such that the vibration of the seat is no less than the predetermined value.

A seat assembly is provided herein. The seat assembly includes a seat member having a support surface. A pair of seat member bolsters is disposed on opposing sides of the seat member. A seat base supports the seat member and has a wraparound sidewall that extends above a bottom portion of each seat member bolster.

In an embodiment, there is provided a chair including: a chair body; at least one sensing element on the chair body for sensing a human body pressure on the chair body; at least one gasbag on the chair body for supporting a waist of a human body; a gas pump for performing inflation and deflation of the at least one gasbag; and a control assembly in signal connection with the at least one sensing element for controlling the gas pump to perform inflation and deflation of the at least one gasbag according to information acquired by the sensing element.

A method for a vehicle includes using sensors in a vehicle seat to detect biometrics of a person sitting in the seat and a vehicle controller determining from the biometrics of the person whether the person requires medical attention. In response to the person requiring medical attention, a request for assistance for the person is broadcasted via a V2X transceiver of the vehicle to medical practitioners of a medical practitioner network who are near a location of vehicle during the broadcasting. The medical practitioner network includes the person as a subscriber and medical practitioners as providers. Alternately, in response to the person requiring medical attention, the vehicle controller uses an autonomous vehicle control system of the vehicle to drive the vehicle to a medical facility.

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, the vehicle comprising a vehicle network. The system further includes a wearable device in operative communication with the vehicle network. The vehicle is configured to determine user settings for the vehicle from data received from the wearable device and implement the user settings for the vehicle. A method for adjusting user settings associated with a vehicle based on data from a wearable device includes acquiring user data from a wearable device at a vehicle, based on the user data, determining by the vehicle one or more user settings, and automatically adjusting by the vehicle of one or more vehicle features based on the one or more user settings.

The present application provides a vehicle-carried system and a control method for vehicle facilities. The vehicle-carried system includes a characteristic information acquisition unit configured to acquire human body characteristic information; a storage unit configured to store pieces of human body characteristic information and pieces of identity information corresponding to the pieces of human body characteristic information; a matching unit configured to match the human body characteristic information acquired by the characteristic information acquisition unit with the pieces of human body characteristic information stored in the storage unit, and determine identity information corresponding to the human body characteristic information acquired by the characteristic information acquisition unit according to a result of the matching; and a control unit configured to control facilities in a vehicle according to the determined identity information.