A system for monitoring anxiety of an individual includes a chair having at least a seat and a back, a base supporting the chair, and a first sensor disposed in at least one of the seat or the back. The first sensor is configured to, without being in direct contact with the individual, continuously obtain data related to a first physical characteristic from the individual seated in the chair. The first physical characteristic is one of respiration or pulse rate. The system further includes a display and a controller. The controller is configured to receive, in real-time, the data related to the first physical characteristic from the first sensor and compile a first metric from the received data. The first metric is configured to visually represent a change in the first physical characteristic. The controller is further configured to output the first metric to the display in real-time.

A system and method for monitoring lung water content of a patient. The system may include microwave sensors and a processor. The system may transmit microwave signals into, and receive microwave signals from, the thorax of a patient using the microwave sensors. The received microwave signals may each have at least one frequency component with a magnitude and a phase. The system may analyze the phase of the received microwave signal corresponding to a first pair of the microwave signals to monitor changes in the lung water content. The system may analyze the magnitude of the received microwave signal corresponding to a second, different pair of the microwave sensors to determine whether the lung water content is increasing or decreasing. The system may also analyze the received microwave signals to determine a blood pressure indicator and to determine lung water content.

A single non-thermal atmospheric plasma generation device is used to detect and analyze vital fields of a living subject to determine the presence of a condition, such as an illness or injury, and responsively modify characteristics of the plasma to treat, heal, or alleviate the condition. The device includes a capacitance dielectric discharge array of plasma emitters, and a controller having a power supply, a transformer, and circuit components for driving the transformer at a resonant frequency of the plasma emitters to cause the plurality of plasma emitters to ionize surrounding air and produce the non-thermal plasma. The resonant frequency is around 60 GHz and harmonics thereof. A receiver of the device recovers frequency mixing products from the plasma, which are extracted by signal processing circuitry; signals in the VHF and UHF bands are extracted and analyzed to determine whether signatures of particular vital fields are present.

A communication terminal includes a memory in which identification information associated with a user is stored, a controller that carries out authentication of the user, and a communication interface that transmits a signal including the identification information. When user authentication is successful, the controller sets the communication terminal to a first state in which the signal is transmitted to an external apparatus, and when user authentication is not successful, the controller sets the communication terminal to a second state in which the signal is not transmitted to the external apparatus.

An apparatus detects and measures vital signs of each human target by a continuous, non-intrusive method. In an example, the vital signs of interest include a heart rate and a respiratory rate, which can provide valuable information about the human’s wellness. Additionally, the heart rate and respiratory rate can also be used to identify a particular person, if more than two target humans are living in a home. The apparatus has a natural convection spatial flow path that draws heat from at least one processor, one fan-less radar and a heat sink.

In an example, the technique also detects and measures vital signs of each human target by continuous, non-intrusive method. In an example, the vital signs of interest include a heart rate and a respiratory rate, which can provide valuable information about the human's wellness. Additionally, the heart rate and respiratory rate can also be used to identify a particular person, if more than two target humans living in a home. Of course, there can be other variations, modifications, and alternatives.

An example method includes, determining, based on data received from a plurality of sensors that are each attached to a respective finger of a plurality of fingers of a hand of a patient, data that represents movements of one or more fingers of the plurality of fingers; and determining, based on the data that represents the movements of the one or more fingers, one or more objective indications of motor control of the patient.

The present invention relates to a terahertz biometric imaging arrangement configured to be arranged under an at least partially transparent display panel and configured to capture an image of an object located on an opposite side of the transparent display panel, the biometric imaging arrangement comprising: a transmitter element arranged to emit terahertz radiation for illuminating the object; and an image sensor comprising an antenna pixel array arranged to detect terahertz radiation transmitted from the illuminated object, for producing an image.

A human presence detector includes a microwave generator, a microwave receiver, a frequency mixing wave detector and a signal processor. The microwave generator is configured to emit and transmit a detecting microwave in a detection space. The microwave receiver is configured to receive a corresponding echo of the detecting microwave. The frequency mixing wave detector, linked to the microwave generator and the microwave receiver, is configured to perform a frequency mixing wave detection on the detecting microwave and the corresponding echo of the detecting microwave to output a primary detecting signal. The signal processor linked to the frequency mixing wave detector is configured to select a fluctuation signal at a predetermined frequency range in the primary detecting signal to amplify and output a secondary detecting signal. Accordingly, in response to the detection of the motion at the predetermined frequency range, a human (living) body is detected and determined in the detection space.

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.