A wearable biofluid volume and composition system includes a microfluidic flexible fluid capture substrate having a microfluidic channel configured as a sweat collection channel and is configured to be worn on a human body and to collect and analyze biofluid. The microfluidic flexible fluid capture substrate further has a plurality of conductive traces and electrodes. An electronic module is attached to the microfluidic flexible fluid capture substrate and is configured to measure and analyze data from the biofluid collected by the microfluidic flexible fluid capture substrate and to transmit the analyzed data to a smart device.

A system may obtain a set of features characterizing a segment of inertial measurement unit (IMU) data generated by an IMU of an ear-wearable device. The system may apply a machine learning model (MLM) that takes the features characterizing the segment of the IMU data as input. The system may determine, based on output values produced by the MLM, whether a user of the ear-wearable device has potentially been subject to physical abuse. The system may then perform an action in response to determining that the user of the ear-wearable device has potentially been subject to physical abuse.

An opto-electronic device (100) is disclosed. The opto-electronic device (100) comprises at least one sensor (106) configured to obtain head orientation data including information on an orientation of a user's head, a processing unit (112) configured to process the head orientation data so as to obtain self motion data including information on the user's self motion and to provide at least one visual cue (114) based on the obtained self motion data, and a display device (120) configured to display the at least one visual cue (114) at a dis-play (102) at least in a periphery of a visual field of the user. Further, a method for providing visual orientation is disclosed.

Systems, devices, and methods described herein relate to multi-sensory presentation devices, including virtual reality (VR) devices, visual display devices, sound devices, haptic devices, and other forms of presentation devices, that are configured to present sensory elements, including visual and/or audio scenes, to a user. In some embodiments, one or more sensors including electroencephalography (EEG) sensors and a photoplethysmography (PPG) sensors, e.g., included in a brain-computer interface, can measure physiological data of a user to monitor a state of the user during the presentation of the visual and/or audio scenes. Such systems, devices, and methods can adapt one or more visual and/or audio scenes based on user physiological data, e.g., to control or manage the state of the user.

Embodiments of the present disclosure relate to determining an optimal location on the body of a person where heart sounds may be optimally heard. The optimal location may be determined at a time prior to the attempted auscultation and ECG data corresponding to the optimal location may be stored in a memory of an auscultation device. Subsequently, when a e.g., physician wishes to listen to the heart sounds of the person, the physician may place the auscultation device at a first location on the patient. The auscultation device may periodically perform an ECG at a current location and use the ECG data at the current location and the ECG data at the optimal location to determine and provide guidance to the physician regarding a direction in which the auscultation device should be moved in order to reach the optimal location.

A computer network implemented system for improving the operation of one or more biofeedback computer systems is provided. The system includes an intelligent bio-signal processing system that is operable to: capture bio-signal data and in addition optionally non-bio-signal data; and analyze the bio-signal data and non-bio-signal data, if any, so as to: extract one or more features related to at least one individual interacting with the biofeedback computer system; classify the individual based on the features by establishing one or more brain wave interaction profiles for the individual for improving the interaction of the individual with the one or more biofeedback computer systems, and initiate the storage of the brain waive interaction profiles to a database; and access one or more machine learning components or processes for further improving the interaction of the individual with the one or more biofeedback computer systems by updating automatically the brain wave interaction profiles based on detecting one or more defined interactions between the individual and the one or more of the biofeedback computer systems. A number of additional system and computer implemented method features are also provided.

A posture measuring device, an intelligent cushion and an intelligent seat are disclosed. The sitting posture measuring device comprises two fiber optic sensors; a signal processing unit electrically connected to the two fiber optic sensors respectively; and a power supply unit electrically connected to the signal processing unit. The sitting posture measuring device further comprises a prompting unit and/or a wireless communications unit electrically connected to the signal processing unit. The two fiber optic sensors are configured from left to right or from front to back. The fiber optic sensors detect changes in optical signals generated from changes in surface pressure on the sensors, and the signal processing unit analyzes a posture of a user on the basis of changes in optical signals generated from changes in surface pressure on the sensors.

Embodiments of the presently described device, system and method support upper extremity (UE) therapy through tracking the human hand. The system can include a hand-wearable sensor mounting system with hand-wearable components and a movement interpretation circuit. The device can include a hand-wearable component comprising a hook, and a sensing transducer comprising a clip, wherein the clip is detachably securable to the hook. In embodiments, one or more sensing transducers are translationally and rotationally restricted when secured to the hand-wearable components.

A portable system is provided for measuring an analyte, such as acetone, in the breath or other bodily fluid of a user. The system includes a portable measurement device that analyzes fluid samples and generates corresponding measurements. The portable measurement device communicates with an application which runs on a smartphone or other mobile device of the user, and the application reports measurement data to a remote system.

A method and system for monitoring a user's intoxication including receiving a set of signals, derived from a set of samples collected from the user at a set of time points; providing a sobriety task to the user proximal to a time point of the set of time points; generating a performance dataset characterizing performance of the sobriety task by the user; receiving a supplementary dataset characterizing a demographic profile of the user and/or a physiological state of the user; determining a set of values of an intoxication metric, derived from the set of signals; generating a predicted temporal profile of the intoxication metric for the user based upon the set of values, the set of time points, and the supplementary dataset; generating an analysis of the user's sobriety based upon the performance dataset and the predicted temporal profile; and providing a notification to the user based upon the analysis.