Facial skin analysis methods and systems for improving facial skin conditions using vehicle cameras of vehicles having onboard communication modules. Each vehicle is equipped to analyze the facial skin images over time periods and compare the images to determine skin conditions. Based on the facial skin conditions, a treatment recommendation can be transmitted to a seat occupant. Each vehicle is operatively connected to a facial skin analysis application in a data center. The facial skin analysis application includes a registration module which registers each vehicle. Additionally, a vehicle user may register with the facial skin analysis application to have his/her facial skin analyzed when travelling in any of the plurality of vehicles. The facial skin analysis application is operatively connected to a skin data AI analytics module and data lake and searches a plurality of databases for information related to the facial skin conditions to improve the treatment recommendation.

Apparatus and methods for monitoring electrical activity within the brain of a person (“brainwaves”) employing electrodes or other sensors placed proximate to portions of the body below the head to develop raw signals without physically touching the body and penetrating hair and clothing. Additionally, apparatus and methods for monitoring electrical activity within the brain of a person (“brainwaves”) employing non-contacting sensors placed proximate to portions of the head to develop raw signals. The raw signals are filtered to produce analysis signals including frequency components relevant to brain electrical activity while attenuating unrelated frequency components. The apparatus and methods can be used for biofeedback-based attention training, human performance training, gaming, biometrics, cognitive state detection, and relaxation training. Either wired or wireless signal connections are made to electronic circuitry, typically including a digital computer, for performing signal processing and analysis functions.

A rider state modification system for improving a state of a rider in a vehicle includes a first neural network that operates to classify a state of the vehicle through analysis of information about the vehicle captured by an Internet-of-things device during operation of the vehicle. The rider state modification system further includes a second neural network that operates to optimize at least one operating parameter of the vehicle based on the classified state of the vehicle, information about a state of a rider occupying the vehicle, and information that correlates vehicle operation with an effect on rider state.

Various embodiments provide systems and methods for identifying impairment using measurement devices.

A movable carrier auxiliary system includes a driver state detecting device and a warning device. The driver state detecting device includes a physiological state detecting module, a storage module, and an operation module. The physiological state detecting module is adapted to detect a physiological state of a driver. The storage module is disposed in a movable carrier and stores an allowable parameter corresponding to the at least one physiological state. The operation module is disposed in the movable carrier and is electrically connected to the physiological state detecting module and the storage module to detect whether the at least one physiological state of the driver exceeds the allowable parameter or not, and to correspondingly generate a detection signal. The warning device generate a warning message when the detection signal that the at least one physiological state of the driver exceeds the allowable parameter is received.

An apparatus and a method for caring emotion of a driver based on a vehicle sound, may include a detector configured to detect driving information of the vehicle and body information of a user, a non-transitory storage to store instructions, and a processor to execute the instructions. The processor determines an emotional status of the driver by use of at least one of the driving information or the body information, to generate a healing sound by designing a virtual sound based on the driving information and the emotional status of the driver, and to generate and output the healing sound.

A system for transportation includes a vehicle interface for gathering physiological sensed data of a rider in the vehicle. The system includes an artificial intelligence-based circuit that is trained on a set of outcomes related to rider in-vehicle experience and that induces, responsive to the sensed rider physiological data, variation in one or more of the user experience parameters to achieve at least one desired outcome in the set of outcomes. The inducing variation includes control of timing and extent of the variation.

A system for detecting unsafe equipment operation conditions using physiological sensors includes a plurality of wearable physiological sensors, each physiological sensor of the plurality of wearable physiological sensors configured to detect at least a physiological parameter of an operator of an item of equipment, and a processor in communication with the at least a physiological sensor and designed and configured to determine an equipment operation parametric model, wherein the equipment operation parametric rule relates physiological parameter sets to equipment operation requirements, detect using the equipment operation parametric model and the plurality of physiological parameters, a violation of an equipment operation requirement, and generate a violation response action in response to detecting the violation.

Technologies for providing a cognitive capacity test for autonomous driving include a compute device. The compute device includes circuitry that is configured to display content to a user, prompt a message to the user to turn user’s attention to another activity that needs situational awareness, receive a user response, and analyze the user response to determine an accuracy of the user response and a response time, wherein the accuracy and response time are indicative of a cognitive capacity of the user to assume control of an autonomous vehicle when the autonomous vehicle encounters a situation that the vehicle is unable to navigate.

A biological information acquisition device includes a detection-value acquisition unit to acquire a detection value from a non-contact biometric sensor, a vital measurement unit to measure a vital sign of a target person (TP) using the detection value, an image-data acquisition unit to acquire image data indicating an image captured by a camera, an image processing unit to perform at least one of a state estimation process of estimating a state of the target person, an attribute estimation process of estimating an attribute of the target person, or a personal identification process of identifying the target person by performing image processing on the image captured including the target person, and a parameter setting unit to set a parameter in measuring the vital sign in accordance with a result of the image processing.