An input device includes: a housing having a transmissive portion; a communicator in the housing and configured to exchange a signal externally; a pressure sensor in the housing along an inner circumferential surface of the housing; and a measurement sensor in the housing and facing the transmissive portion.

A patient communicator device provides the ability for non-verbal communication between a patient and medical personnel. The device includes a handgrip module that is held by the patient and a display unit for use by the medical personnel, with a communication link coupling the two components together. The handgrip module is formed of a deformable material and encases a power source (i.e., battery) and a pressure-activated switch. The patient squeezes the handgrip module to close the switch and transmit a signal to the display unit. For example, one squeeze may be used to indicate that everything is fine, two squeezes may be used to indicate that the patient is feeling an uncomfortable amount of pain and needs additional medication. These “squeeze” signals take the form of pulses that are passed to the display unit so that the medical personnel remains apprised of the patient's condition, allowing the patient to communicate regarding issues such as anxiety, pain or discomfort.

The invention describes a measuring system for the continuous non-invasive determination of blood pressure at one or more fingers. The fingers chosen for measurement and the adjacent parts of the palm rest on a supporting surface of a housing, which has the shape of a computer mouse. Inside the housing of the “CNAP Mouse”, i.e. underneath the supporting surface for the hand, the pressure generating system is located. The finger sensors are mounted on the supporting surface for the hand. The forearm and the back of the hand are left free and may be used to place intra-venous or intra-arterial access elements. Since the hand will rest on the supporting surface motion artefacts are largely avoided. Tilting or turning of the sensors is hardly possible since the fit of the sensors and thus the coupling of light and pressure are optimized.

A method and system is provided for finding and analyzing gait parameters and postural balance of a person using a Kinect system. The system is easy to use and can be installed at home as well as in clinic. The system includes a Kinect sensor, a software development kit (SDK) and a processor. The temporal skeleton information obtained from the Kinect sensor to evaluate gait parameters including stride length, stride time, stance time and swing time. Eigenvector based curvature detection is used to analyze the gait pattern with different speeds. In another embodiment, Eigenvector based curvature detection is employed to detect static single limb stance (SLS) duration along with gait variables for evaluating body balance.

In an aspect of the invention, a method of identifying sensory inputs affecting working memory load of an individual is provided. The method comprises monitoring (S101) working memory load of the individual using a sensor device, detecting (S102) an increase in the working memory load of the individual, and identifying (S103), in response to the detected increase, at least one sensory input affecting the working memory load of the individual.

A sonar-based contactless monitoring system comprises a sonar system (308), a contactless sensing assembly (310), and a controller (302) configured to read out measurements transmitted by the sonar system and the contactless sensing assembly and calculate posture and activity of a subject. The sonar system may include a microphone (314) and a speaker (316), wherein the microphone is configured to sense a first acoustic signal in a frequency range associated with the sound and/or motion made by the subject, and a second acoustic signal in a frequency range associated with the reflection of an acoustic signal transmitted by the speaker. The contactless sensing assembly senses at least one of vital and environmental conditions, such as a heart rate, respiratory rate, activity, snoring, subject's position, and subject's movement, or noise level, weather condition, light exposure, time and radiation level.

An access control system includes an identification unit having an infrared (IR) transmitter that transmits IR radiation, an IR detector that receives the reflected IR radiation from one or more body parts of the user, one or more signal processing components to determine a temperature of the user based on the received reflected IR radiation, and an identification device to receive identification information of the user. The access control system also includes a processor that receives the reading of the user, instructs a door lock controller to unlock a door when the temperature is below the threshold temperature or the temperature is within the temperature range. The processor sends an alert when the temperature is above the threshold temperature or the temperature is outside the temperature range, and sends identification information of the user to one or more network devices.

In some embodiments, a microelectronic sensor includes an open-gate pseudo-conductive high-electron mobility transistor and used for biometric authentication of a user. The transistor comprises a substrate, on which a multilayer hetero-junction structure is deposited. This hetero-junction structure comprises a buffer layer and a barrier layer, both grown from III-V single-crystalline or polycrystalline semiconductor materials. A two-dimensional electron gas (2DEG) conducting channel is formed at the interface between the buffer and barrier layers and provides electron current in the system between source and drain electrodes. The source and drain contacts, which maybe either ohmic or non-ohmic (capacitively-coupled), are connected to the formed 2DEG channel and to electrical metallizations, the latter are placed on top of the transistor and connect it to the sensor system. The metal gate electrode is placed between the source and drain areas on or above the barrier layer, which may be recessed or grown to a specific thickness. An optional dielectric layer is deposited on top of the barrier layer.

A detection device includes: a substrate; photoelectric conversion elements provided to the substrate; transistors; and signal lines each of which is between adjacent photoelectric conversion elements. Each detection element includes one of the photoelectric conversion element and the transistors adjacent to the photoelectric conversion element. A first signal line among the signal lines is between the photoelectric conversion element of a first detection element and the photoelectric conversion element of a second detection element adjacent to one side of the first detection element and is coupled to the first detection element and the second detection element. A second signal line among the signal lines is between the photoelectric conversion element of the first detection element and the photoelectric conversion element of a third detection element adjacent to another side of the first detection element and is coupled to the first detection element and the third detection element.

Methods, systems, and devices for illness detection are described. A method may include identifying baseline temperature data associated with a user based on temperature data collected from the user via a wearable device throughout a first time interval. The method may include receiving additional temperature data collected via the wearable device throughout a second time interval, and inputting the baseline temperature data and the additional temperature data into a classifier. The method may include identifying a satisfaction of deviation criteria between the baseline temperature data and the additional temperature data, and causing a graphical user interface (GUI) of a user device to display an illness risk metric for the user based on the satisfaction of the deviation criteria, the illness risk metric associated with a relative probability that the user will transition from a healthy state to an unhealthy state.