A vehicle includes an information acquisition unit configured to acquire a movement of a body of a driver; and a controller configured to determine whether the movement of the body of the driver acquired by the information acquisition unit is a normal pattern of the driver.

Exemplary methods and systems may image an object of interest using one or more waveguide assemblies including gated elements. The gated elements may be configurable in a transmission state, a reception state, or a passive state. The exemplary methods and systems may deliver electromagnetic energy (e.g., microwave energy) to an object of interest using a gated element of a waveguide assembly configured in a transmission state and sample scattered field using a gated element of another waveguide assembly configured in the reception state while the remainder of gated elements are configured in the passive state.

Methods and systems are provided herein for analyzing, monitoring, and/or influencing a user's behavioral gesture in real-time. A gesture recognition method may be provided. The method may comprise: obtaining sensor data collected using at least one sensor located on a wearable device, wherein said wearable device is configured to be worn by a user; and analyzing the sensor data to determine a probability of the user performing a predefined gesture, wherein the probability is determined based in part on a magnitude of a motion vector in the sensor data, and without comparing the motion vector to one or more physical motion profiles.

The apparatus includes a sensor having a multi-portion dielectric composite. A microstrip transmission line is formed on the dielectric composite and includes an input section, radiator portion, and an output section. The dielectric material adjacent the radiator portion is selected to substantially match that of the certain portions of a live organism being sensed, allowing other constituents of the organism to be sensed. This allow the radiator portion to effectively respond as if it were embedded inside the organism, removing substantial uncertainly from the measurement process. By then applying a plurality of signals to the sensor, the reflected and transmitted components of the signal can be measured and used to determine the amount of certain constituents are present in the organism.

An estimation method includes: transmitting transmission signals using M transmission antenna elements; receiving reception signals by N reception antenna elements; calculating, from the reception signals, a first matrix whose components are complex transfer functions indicating propagation characteristics between the transmission antenna elements and the reception antenna elements; estimating, using the first matrix, a position and an orientation of a living body relative to an estimation device; when the estimated position is in a first identification region and the estimated orientation is in a predetermined range from a first direction, identifying the living body based on time waveforms of the reception signals and a first training signal which is obtained in advance in the first identification region and corresponds to the living body; and adding, as an identification region for identifying the first living body identified, a new identification region based on an estimated position of the first living body identified.

A system for monitoring a health parameter in a person is disclosed. The system includes a frequency synthesizer configured to generate radio waves across a range of stepped frequencies, at least one transmit antenna configured to transmit the radio waves below the skin surface of a person, a two-dimensional array of receive antennas configured to receive radio waves, the received radio waves including a reflected portion of the transmitted radio waves, processing circuits configured to output data that includes amplitude and phase data in response to the received radio waves, and means for deriving data from at least one of the amplitude and phase data and determining a value that is indicative of a health parameter in the person in response to the derived data.

A method for monitoring a health parameter in a person is disclosed. The method involves transmitting radio waves below the skin surface of a person and across a range of stepped frequencies, receiving radio waves on a two-dimensional array of receive antennas, the received radio waves including a reflected portion of the transmitted radio waves across the range of stepped frequencies, generating data that corresponds to the received radio waves, wherein the data includes amplitude and phase data, and determining a value that is indicative of a health parameter in the person in response to the amplitude and phase data.

A system for monitoring a health parameter in a person is disclosed. The system includes a frequency synthesizer configured to generate radio waves across a range of stepped frequencies, at least one transmit antenna configured to transmit the radio waves below the skin surface of a person, a two-dimensional array of receive antennas configured to receive radio waves, the received radio waves including a reflected portion of the transmitted radio waves, processing circuits configured to generate data that includes amplitude and phase data in response to the received radio waves, and means for determining a value that corresponds to a health parameter of the person in response to the amplitude and phase data.

A method for monitoring a health parameter in a person is disclosed. The method involves transmitting radio waves below the skin surface of a person and across a range of stepped frequencies, receiving radio waves on a two-dimensional array of receive antennas, the received radio waves including a reflected portion of the transmitted radio waves across the range of stepped frequencies, generating data that corresponds to the received radio waves, wherein the data includes amplitude and phase data, deriving data from at least one of the amplitude and phase data, and determining a value that is indicative of a health parameter in the person in response to the derived data.

A method for training a model for use in monitoring a health parameter in a person is disclosed. The method involves receiving control data that corresponds to a control element, wherein the control data corresponds to a health parameter of a person, receiving stepped frequency scanning data that corresponds to radio waves that have reflected from the control element, wherein the stepped frequency scanning data includes frequency and corresponding amplitude and phase data over a range of frequencies, generating training data by combining the control data with the stepped frequency scanning data in a time synchronous manner, and training a model using the training data to produce a trained model, wherein the trained model correlates stepped frequency scanning data to values that are indicative of a health parameter of a person.