One aspect of this disclosure relates to a sleep position training device for reducing gastroesophageal reflux during sleep. The training device can comprise an orientation sensor, a stimulus generator and a processing system. The orientation sensor can be configured to output a signal indicative of an orientation of the torso of the person. The stimulus generator can be configured to provide a stimulus to the torso of the person when the torso of the person is in a predetermined torso orientation range in a sleeping position. The stimulus generator can be removably affixable to the torso of the person. The processing system can be configured to receive a first signal from the orientation sensor, the first signal being indicative of an orientation of the torso of the person, and to determine that the orientation is within the predetermined torso orientation range in the sleeping position.

Embodiments provide physiological measurement systems, devices and methods for continuous health and fitness monitoring. A wearable strap may detect reflected light from a user's skin, where data corresponding to the reflected light is used to automatically and continually determine a heart rate of the user. The wearable strap may monitor heart rate data including heart rate variability, resting heart rate, and sleep quality. The systems may include a processing module that generates an indicator of physical recovery based on the heart rate data. The recovery indicator may be used to determine strain related to an exercise routine, qualitative information on the user's health, whether to alter a user's exercise plan, and so forth.

An example information processing system executes a game application. The information processing system obtains user information for calculating information relating to sleep of a user, and calculates health information relating to sleep and/or fatigue of the user based on the obtained user information. The information processing system controls a game progress of the game application based on the health information.

A device and/or method to determine a sleep-wake status, such as in association with sleep disordered breathing (SDB) care.

Disclosed herein is an electronic device and a control method thereof. The control method of an electronic device includes: obtaining a bio-signal from at least one sensor, determining a first physiological parameter based on the bio-signal, estimating a second physiological parameter including a specified correlation with the first physiological parameter, and providing information about the estimated second physiological parameter.

Methods, systems, and devices for temperature calibration are described. A device may support temperature calibration for a set of temperature sensors. For example, a wearable device may activate a set of temperature sensors associated with the wearable device. The set of temperature sensors may include a primary temperature sensor and one or more secondary temperature sensors. The wearable device may determine a trigger to calibrate the one or more secondary temperature sensors based on one or more conditions, and calibrate the one or more secondary temperature sensors using the primary temperature sensor based on the trigger. Based on the calibrating, the wearable device may process temperature data associated with a user that is received from one or more of the primary temperature sensor or the one or more secondary temperature sensors.

Methods and devices provide physiological movement detection, such as gesture, breathing, cardiac and/or gross body motion, with active sound generation such as for an interactive audio device. The processor may evaluate, via a microphone coupled to the interactive audio device, a sensed audible verbal communication. The processor may control producing, via a speaker coupled to the processor, a sound signal in a user's vicinity. The processor may control sensing, via a microphone coupled to the processor, a reflected sound signal. This reflected sound signal is a reflection of the generated sound signal from the vicinity or user. The processor may process the reflected sound, such as by a demodulation technique, to derive a physiological movement signal. The processor may generate, in response to the sensed audible verbal communication, an output based on an evaluation of the derived physiological movement signal.

A system and a method for predicting kinesthetic outcomes from observed position, posture, behavior or activity of an individual 1602, 1702. The system uses kinesthetic activity sensors 102, 104 each collecting one or more of audio, video, or physiological signals and capturing the activity of the individual or an ambient environment of the individual. These signals are delivered into a computer system 106 implementing a learning routine 108 which constructs one or more personalized kinetic state models 1510 of positional states for the individual and transitions between the positional states, and further develops one or more customized multi-dimensional prediction models 1500 for the individual and uses the multidimensional prediction models to predict behaviors, activities and/or positional changes likely to occur in the future, and provides notice of predicted unsafe or undesired outcomes.

Systems and methods are provided for a multi-modal sleep system comprising a data processor for operating in a plurality of operating modes. The data processor may detect at least one sensor providing data to the data processor and determine a sensor type associated with each of the at least one sensor. The data processor may select a mode of operation based on the determined sensor type of the detected at least one sensor and of each of the at least one sensor. A first of the plurality of operating modes may be selected in response to determining that the at least one detected sensor includes a first sensor type or combination of sensor types. The data processor may be configured to receive data from the at least one detected sensor and process the received data according to the selected mode of operation to output a characterization of a user's sleep.

A transduction unit of a non-contact human sleep physiological parameter detection sensor includes a circuit board, a piezoelectric film and conductive adhesives, wherein the piezoelectric film includes a film sheet and two electrodes, which are respectively arranged on two side faces of the film sheet; the piezoelectric film is attached to the circuit board; and the two electrodes of the piezoelectric film are respectively electrically connected to two exposed pad electrodes on the circuit board by means of the conductive adhesives.