An electronic device of a charging module system may include a housing having a first surface facing a first direction and a second surface facing a second direction opposite to the first direction; a display device at least partially is exposed through the first surface to display information to the outside; a biometric sensor disposed to be exposed in at least an area of the second surface and sensing biometric information of a user; a battery disposed between the display device and the biometric sensor; and a plurality of electrodes disposed adjacent to the at least an area of the second surface and formed to be exposed in at least another area of the second surface, in which the plurality of electrodes may surround at least a portion of the biometric sensor, and each of the plurality of electrodes has a notch protruding or recessed at least at one end.

A contact lens system includes a shared antenna electrode, an accommodation actuator to provide variable optical power, and a controller coupled to the accommodation actuator and the shared antenna electrode. The controller including logic for arbitrating access to the shared antenna electrode between an impedance sensor and a communication circuit; selectively establishing an oscillator with the impedance sensor and the shared antenna electrode; correlating an oscillation condition of the oscillator to an accommodation setting; and adjusting the variable optical power of the accommodation actuator based upon the accommodation setting. An impedance across the shared antenna electrode varies based upon an amount an eyelid overlaps the contact lens system when the contact lens system is worn on an eye.

An illustrative system includes a stimulation device configured to apply stimulation to a recipient, a sensing device configured to detect a physiological condition of the recipient, and a processing unit communicatively coupled to the stimulation device and the sensing device. The processing unit determines a stimulation strategy that is customized to the recipient and includes stimulation frames and stimulation gaps. The processing unit then directs the stimulation device to apply the stimulation to the recipient in accordance with the stimulation strategy by applying the stimulation only during time that corresponds to the stimulation frames. The processing unit also directs the sensing device to detect the physiological condition of the recipient in accordance with the stimulation strategy by detecting only during time that corresponds to the stimulation gaps. Based on the detected physiological condition, the processing unit performs an action. Corresponding systems, methods, and apparatuses are also disclosed.

A method is disclosed for driving an emergency reaction system within a moving motor vehicle carrying at least one vehicle occupant. The method includes monitoring health conditions of the vehicle occupant. The method also includes determining whether the health conditions are below a critical threshold and, if so, continuing to monitor the health conditions of the vehicle occupant. If the health conditions exceed the critical threshold, an emergency alert is issued without waiting for the motor vehicle to stop, and an autonomous safe stop maneuver is performed if the motor vehicle is moving autonomously or includes an autonomous driving system and is allowed to operate automatically.

Disclosed herein is robust detection of facial expressions that accounts for interferences on the face. In one embodiment, a system includes a head-mounted device that comprises (i) light sources configured to emit light towards a first region on a user's face, and (ii) discrete photosensors, spread over more than 2 cm, which take measurements of reflections of the light from the first region. Additionally, the system includes a head-mounted camera that captures images of a second region on the face. A computer calculates, based on the images, an extent of presence of hair over a portion of the first region. Optionally, the computer calculates extents of other interferences such as perspiration, applied makeup, and skin infection. The computer then detects facial expressions of the user based on the measurements of the reflections and the calculated extent of the hair and/or other interferences.

Disclosed herein are methods and systems for self-tracking of motion artifacts (e.g., due to eye blinking and/or micro saccades motion) in optical coherence tomography (OCT) and/or OCT angiography (OCTA). A motion strength index (MSI) may be determined based on OCTA data, and the presence of excessive motion may be determined based on the MSI (e.g., if the MSI is greater than a threshold). The system may re-acquire OCT data at scan locations for which excessive motion is detected. A cross (X) scanning pattern for alignment is also described. Other embodiments may be described and claimed.

A stimulation device includes a body containing at least one stimulation means adapted to be transcutaneously attached to the neck of a subject. The stimulation means is adapted to generate a stimulating signal during a stimulating state. The stimulation means is positioned to be in stimulating contact with the sternocleidomastoid muscle and the trunks of the lesser occipital nerve, greater auricular nerve, transverse cervical nerve or supraclavicular nerve with their autonomic fibers synchronously. The stimulation can be provided in the form an electrical, optical, vibrational, thermal, mechanical and/or magnetic stimulation. The stimulation device can be used bilaterally on the right and left sides of the subject's neck, working as a system in a synchronous or alternating manner.

Systems methods are described for modifying sleep patterns based on biofeedback. The method may include identifying a target sleep pattern from a plurality of candidate sleep patterns, receiving biofeedback information from a user, identifying a stimulus pattern based on the target sleep pattern and the biofeedback information, and providing at least one stimulus to the user based on the stimulus pattern.

A device for measuring eye movement in a human subject comprises a housing, at least one stimulator mounted to the housing, and a sensor. The at least one stimulator is configured to provide stimulus to one or both eyes of the subject. The sensor is configured to collect information related to movement of one or both eyes of the subject. The device also includes a user interface that is configured to control the at least one stimulator and display information collected by the camera.

A method to optimize learning based upon ocular information of a subject includes providing a video camera for recording a close-up view of a subject's eye. A first electronic display shows a plurality of educational subject matter to the subject. A second electronic display shows an output to an instructor. Changes in ocular signals of the subject are processed through the use optimized algorithms. A cognitive state model determines a low to a high cognitive load experienced by the subject. The cognitive state model is evaluated based on the changes in the ocular signals for determining a probability of the low to the high cognitive load experienced by the subject. The probability of the low to the high cognitive load experienced by the subject is displayed to the instructor.