To better fulfill a sleep-inducing function for a seated person, a seat device includes a pressing device provided in a seat back and configured to press a back or a waist of a seated person to induce breathing; at least one of a temperature adjusting device configured to change a temperature of a seat cushion and/or the seat back and a shape adjusting device configured to change a surface shape of the seat cushion and/or the seat back; and a controller configured to control the pressing device to press the back or the waist of the seated person at a set cycle corresponding to a breathing cycle of a person at a sleeping time, and control the at least one of the temperature adjusting device and the shape adjusting device.

A vehicle includes a processing device that detects an authentication device approaching the vehicle, determines a user's impaired state based on user condition information acquired using at least one device mounted on the vehicle, and performs a safe driving assistance service. The safe driving assistance service can prevent an impaired user from operating the vehicle.

A vital sign measurement device includes at least one sensor that is provided at a seat, and that is configured to contact a finger of a measurement subject and to measure a vital sign of the measurement subject. The seat includes a seat surface portion on which a femoral region and buttocks of the measurement subject are to be placed and a seat back capable of being disposed along a back of the measurement subject. The at least one sensor includes a side-portion sensor that is disposed below a side edge of the seat surface portion.

A measurement device for a vehicle seat includes a memory; a processor coupled to the memory; a headrest body of a headrest; a first side section of the headrest that is swingable toward a seat front side so as to support the neck of the vehicle occupant; a second side section of the headrest that is swingable toward the seat front side so as to support the neck of the vehicle occupant; a first electrode provided at the first side section and contacting the neck in a state in which the first side section is supporting the neck; and a second electrode provided at the second side section and contacting the neck in a state in which the second side section is supporting the neck. The processor is configured to acquire a waveform of a potential difference based on the potential difference between the first electrode and the second electrode over time.

Embodiments of the present disclosure sets forth a computer-implemented method comprising receiving, from at least one sensor, sensor data associated with an environment, computing, based on the sensor data, a cognitive load associated with a user within the environment, computing, based on the sensor data, an affective load associated with an emotional state of the user, determining, based on both the cognitive load at the affective load, an affective-cognitive load, determining, based on the affective-cognitive load, a user readiness state associated with the user, and causing one or more actions to occur based on the user readiness state.

In an autonomous driving method, a health physiological data range is added to an operational design domain (ODD) deployed on an autonomous driving system (ADS) as an applicable range of the ODD. The ADS receives real-time physiological data of a driver/passenger collected by a monitoring device. When a difference between the real-time physiological data and a health physiological data range is greater than a preset value, and a duration in which the real-time physiological data deviates from the health physiological data range is greater than a first preset duration, the ADS degrades an autonomous driving service being executed by an autonomous driving vehicle, and executing a first driving policy based on the difference and the duration.

A device (1) for monitoring a response of a subject body (2, 21, 211) comprises an emitter (3) for emitting an input signal (5, 51, . . . ) and a receiver (4) for receiving an output signal (6, 61, . . . ). A first response (R1) of the subject body (2, 21, 211) is evaluated from the comparison between the signals. A further emitter (31, 311, . . . ) evaluates a second response (R2), wherein one of the responses is selected for a further monitoring of the response, and/or at least one further receiver (41, 411, . . . ) evaluates a third response (R3), wherein either the first response (R1) or the third response (R3) is selected for a further monitoring of the response, and/or wherein the input signal (5, 51, . . . ) is an electromagnetic field and the device (1) further comprises a signal modulator (9) which alters the input signal (5, 51, . . . ).

Apparatus and methods are described for monitoring a subject. A sensor monitors the subject and generates a sensor signal in response thereto and a plurality of filters are used to filter the sensor signal using respective filter parameters. A computer processor receives the sensor signal, filters the signal with each of two or more of the filters, and in response to a quality of each of the filtered signals, selects one of the plurality of filters to filter the sensor signal. Subsequently, the computer processor detects that the subject has undergone motion, by analyzing the sensor signal, and in response thereto, filters the signal with each of two or more of the filters, and in response to a quality of each of the filtered signals, selects one of the plurality of filters to filter the sensor signal. Other applications are also described.

A computer generates an accident risk definition model to estimate a probability of hazard occurrence as an accident risk by inputting first in-vehicle sensor data collected in the past and hazard occurrence data having information on hazard occurrence from the first in-vehicle sensor data preset therein, generates accident risk estimation data by inputting second in-vehicle sensor data collected in the past to the accident risk definition model and estimating the probability of the hazard occurrence, generates an accident risk prediction model to predict the accident risk after a predetermined time by inputting first biological index data corresponding to the second in-vehicle sensor data and the accident risk estimation data, calculates second biological index data from second biological sensor data by acquiring the second biological sensor data of a driver, and predicts the accident risk after the predetermined time by inputting second biological index data to the accident risk prediction model.

A display controller (20) includes an information acquisition unit configured to obtain input data of attentional resources of an occupant of a mobile object such as traveling time, occupant status information, driving environment information or display image history and a display-image generation unit configured to generate, in a mode determined based on the input data, a display image to be displayed by a display device (10) provided for the mobile object. The mobile object is for instance a vehicle comprising a head-up display.