A system (100) and a method for analyzing a physiological condition of a user. The system (100) comprises one or more sensors (102a, 102b) to measure one or more parameters including temperature and relative humidity from the user's skin and/or a corresponding temperature and relative humidity from the user's environment via an air gap. A signal representative of the measured parameters is generated. The system (100) also includes at least one transceiver (108) communicably connectable to the sensing unit (102) via one or more communication interfaces, wherein the transceiver (108) is configurable to analyze one or more received signals to initiate one or more events based on the analyzed parameters of the user. The system (100) further includes a processing unit (110) to receive one or more signals from the transceiver (108) and uses artificial intelligence and machine learning techniques to alert users of an impending physiological condition.

A computing device includes a housing defining an aperture extending therethrough. The computing device further includes a button that includes a switch and a body. The body is at least partially disposed within the aperture and movable relative to the housing between a first position and a second position to selectively actuate the switch to cause the computing device to perform a function. The button includes a printed circuit electrically coupled to one or more processors of the computing device. The button includes an optical sensor disposed within the interior of the body and configured to obtain biometric data for determining one or more biometrics of a user.

A keyboard device having functionality of physiological parameter measurement is disclosed, which comprises a keyboard main body and at least two physiological signal sensing units. The physiological signal sensing unit comprises a lighting element and a light sensing element. Moreover, the physiological signal sensing unit further comprises a touch plane that is exposed out of the surface of the keyboard main body. When a user is typing the button keys of the keyboard main body, the user can touch the touch plane by one finger thereof, such that the physiological parameter calculating unit receives an optical signal through the physiological signal sensing unit, thereby calculating physiological parameters of the user after applying a physiological parameter calculating process to the optical signal. The calculated physiological parameter comprises heartbeat and heart rate.

Devices and systems for characterizing a condition of spinal deformities are contemplated. Mobile devices that incorporate inclinometers or accelerometers (e.g., a smart phone) are held securely in a supporting structure that renders it useful to characterize spinal deformities such as scoliosis and/or kyphosis. Supporting structures can include features that secure the mobile device (for example, chamfered surfaces, high friction surfaces, pliant projections, straps, hook and loop enclosures, tensioning devices, detents, etc.) in an upper portion and a lower portion that includes at least one, but preferably two or more rollers, and an interposing centrally placed notch dimensioned to permit the assembled device (supporting structure and mobile device) to span the width of a typical human spinal column. At least one roller includes an encoder (e.g., optical, mechanical, and/or magnetic encoders) that provide data related to their rotation or translation, thereby providing a measure of distance travelled as the device rolls, as well as direction. Such a support device can include additional features, such as additional sensors that are accessible by the mobile device, a centrally placed guide (such as a projected LED laser, illuminated filament, flexible bristle, etc.) that can be used to keep the assembled device in alignment during use, and supplementary battery power for the mobile device.

A system (100) and a method for analyzing a physiological condition of a user. The system (100) comprises one or more sensors (102a, 102b) to measure one or more parameters including temperature and relative humidity from the user's skin and/or a corresponding temperature and relative humidity from the user's environment via an air gap. A signal representative of the measured parameters is generated. The system (100) also includes at least one transceiver (108) communicably connectable to the sensing unit (102) via one or more communication interfaces, wherein the transceiver (108) is configurable to analyze one or more received signals to initiate one or more events based on the analyzed parameters of the user. The system (100) further includes a processing unit (110) to receive one or more signals from the transceiver (108) and uses artificial intelligence and machine learning techniques to alert users of an impending physiological condition.

The blood pressure measurement method using a display device includes generating a first pulse wave frequency signal having a magnitude of a pulse wave signal according to a frequency having a fundamental wave component and a harmonics component based on a pressure measurement value and a pulse wave signal, calculating a coefficient of a transfer function based on center frequencies and maximum gains at center frequencies of first harmonics to third harmonics of the first pulse wave frequency signal, generating a second pulse wave frequency signal by blocking noise components of the first harmonics to the third harmonics of the first pulse wave frequency signal based on the transfer function, generating a first pulse wave signal having a magnitude of a pulse wave signal according to a pressure based on the second pulse wave frequency signal, and calculating blood pressure information based on the first pulse wave signal.

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.

An apparatus for measuring bio-information may include: a pulse wave sensor comprising at least one pair of light emitters which are disposed apart from each other and a light receiver disposed between the at least one pair of light emitters, and configured to measure a plurality of pulse wave signals from an object by using the light receiver and the at least one pair of light emitters; a force sensor configured to measure a contact force that is applied to the pulse wave sensor by the object; and a processor configured to generate an integrated pulse wave signal by integrating the plurality of pulse wave signals based on the contact force and an area of a contact surface of the pulse wave sensor, and estimate bio-information of the object based on the integrated pulse wave signal.

A game selection system for matching a current user to a subsequent game session includes one or more conventional videogame controllers operable to provide data to the game selection system, one or more correlators trained to receive as a first input at least a subset of data from the one or more conventional videogame controllers, and generate as a final output data relating to the likelihood of the user quitting a game session, and a modification processor configured to modify a parameter related to matching the current user to a subsequent game session in response to the final output data.