Provided are a vehicle outside information acquiring unit to acquire vehicle outside information, a face information acquiring unit to acquire face information, a biological information acquiring unit to acquire biological information, a vehicle information acquiring unit to acquire vehicle information, a vehicle outside information feature amount extracting unit to extract a vehicle outside information feature amount on the basis of the vehicle outside information, a face information feature amount extracting unit to extract a face information feature amount in accordance with the vehicle outside information feature amount, a biological information feature amount extracting unit to extract a biological information feature amount in accordance with the vehicle outside information feature amount, a vehicle information feature amount extracting unit to extract a vehicle information feature amount in accordance with the vehicle outside information feature amount, and a cognitive function estimation unit to estimate whether a cognitive function of a driver is low on the basis of a machine learning model, the vehicle outside information feature amount, and at least one of the face information feature amount, the biological information feature amount, or the vehicle information feature amount.

Disclosed is a seat including: sensors which includes a first cushion sensor provided at a seat cushion in a position corresponding to buttocks of an occupant, a second cushion sensor provided at the seat cushion and located farther frontward than the first cushion sensor, a first back sensor provided at a seat back and located in a lower position thereof, and a second back sensor provided at the seat back and located above the first back sensor; and a controller connected to the sensors and thereby allowed to acquire pressure values from the respective sensors. The controller is configured to identify the motion of the occupant based on outputs of at least two sensors of the first cushion sensor, the second cushion sensor, the first back sensor, and the second back sensor.

A method for predicting an arousal level used by a computer of an arousal level prediction apparatus that predicts an arousal level of a user is provided. The method includes obtaining current biological information regarding the user detected by a sensor, and calculating a current arousal level of the user based on the current biological information. The method further includes obtaining current environment information indicating a current environment around the user, and predicting a future arousal level, which is an arousal level a certain period of time later, based on the current arousal level and the current environment information. Based on the predicted future arousal level, the method further issues a notification to the user, or controls an operation of a device.

Provided are a disease-condition assessment device for assessing a disease condition of a subject, a disease-condition assessment method, a program for disease-condition assessment device, and a disease-condition assessment system. The disease condition assessment device acquires a data of a seat pressure distribution on a seating surface where a subject operating a vehicle is seated, calculates a center position depending on the seat pressure distribution, calculates a degree of laterality in the seat pressure distribution based on the center position, and assesses a disease condition of the subject depending on the degree of laterality.

Techniques for determining a cognitive reaction to a software application update include determining that a software application executing on a computing device has been modified into an updated software application; acquiring, via at least one sensor, sensor data associated with a user of the updated software and determining, based on the sensor data, at least one of a cognitive workload and an emotional state associated with a user interaction with a feature of the updated software application.

An apparatus for generating ECG recordings and a method for using the same are disclosed. The apparatus includes a handheld device having four electrodes on an outer surface thereof, the handheld device having an extended configuration and a storage configuration. The apparatus also includes a controller configured to measure signals between the electrodes to provide signals that are used to generate an ECG recording selected from the group consisting of standard lead traces and precordial traces. When the handheld device is in the extended configuration and the first and second electrodes contact a first hand of a patient such that the first and second electrodes contact different locations on the first hand, the third electrode is in contact with a location on the patient's other hand and the fourth electrode contacts a point on the patient's body that depends on the particular trace being measured.

A system for aircraft display device feedback may include a personal electronic device. The personal electronic device may be configured to generate a feedback response based on a signal received from an aircraft controller of an aircraft. In addition or in the alternative, the system may include a personal electronic device configured to generate a feedback response, where the feedback response may be generated by an aircraft controller via the personal electronic device. The feedback response may be based on an input received via an aircraft touchscreen display device coupled to the aircraft controller. The feedback response may at least include a haptic feedback response. The input received via the touchscreen aircraft display device may be directed to at least one of adjusting, troubleshooting, or updating one or more components of an avionics system installed within the aircraft.

A system for displaying information indicative of driving conditions, to a driver, using a smart ring are disclosed. An exemplary system includes a smart ring with a ring band having a plurality of surfaces including an inner surface, an outer surface, a first side surface, and a second side surface. The system further includes a processor, configured to obtain data from a communication module within the ring band, or from one or more sensors disposed within the ring band. The obtained data are representative of information indicative of one or more driving conditions to be displayed to the driver. The smart ring also includes a light emitting diode (LED) display disposed on at least one of the plurality of surfaces, and configured to present information indicative of the one or more driving conditions.

A system includes a minimally intrusive display system (MIDS) configured to be disposed on an eyewear. The MIDS includes a battery system configured to provide power for the MIDS, a display system, and a processor communicatively coupled to the display system and configured to display information to an eye of a wearer of the eyewear via the display system. The display system is disposed inside a space bounded by a first vertical line that bisects the eyewear and a right line or a left line that extends no more than 40 mm from the first vertical line.

The driving support apparatus includes a memory configured to store information representing a degree of familiarity with an environment for a driver of a vehicle; and a processor configured to detect an object existing around the vehicle based on a sensor signal representing a situation around the vehicle obtained by a sensor mounted on the vehicle, determine whether or not the object approaches the vehicle so that the object may collide with the vehicle, and notify the driver of the approach via a notification device mounted on the vehicle at a timing corresponding to the degree of familiarity with the environment for the driver of the vehicle, when it is determined that the object approaches the vehicle so that the object may collide with the vehicle.