An electronic device including: a light guide plate; an imaging unit disposed so as to face the light guide plate and including an image sensor; a plurality of light emitting elements disposed around the imaging unit; and a refractive part interposed at least between the light emitting element and the light guide plate and refracting light emitted from the light emitting element.

A method of operating an exoskeleton system that includes obtaining at an exoskeleton device, sensor data from one or more sensors; and determining, by the exoskeleton device based at least in part on the sensor data, one or more states, including one or more of: at least one state of the exoskeleton system; at least one state of a user wearing the exoskeleton system; and at least one state of a location where the user and exoskeleton system are located. The method further includes determining, by the exoskeleton device, a response based at least in part on the determined one or more states; and generating the response by the exoskeleton device causing actuation of the exoskeleton system.

A wrist-worn training computer includes one or more biosensors; a casing; a display lens positioned against the casing to form an interface between the display lens and the casing, and to enclose together with the casing an enclosed space between the casing and the display lens; a first part of an antenna of a satellite navigation receiver disposed within the enclosed space; and a gasket positioned along the interface between the display lens and the casing to seal the enclosed space. The gasket comprises electrically conductive material that forms a second part of the antenna.

Provided are a tracking method and apparatus of an exercise heart rate, a device and a storage medium. The method includes: if the user heart rate currently detected by a photoelectric heart rate device does not meet a preset heart rate standard, invoking a pre-established target model equation reflecting the relationship between a user heart rate and a user pace; and inputting the current real-time pace of a user into the target model equation to obtain the current real-time heart rate of the user. In the technical solutions, when the user heart rate currently detected by the photoelectric heart rate device does not meet the preset heart rate standard, the current real-time pace of the user is directly input into the pre-established target model equation reflecting the relationship between the user heart rate and the user pace to obtain the current real-time heart rate of the user.

There is provided an apparatus comprising at least one processor; and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to perform: receiving an activity type of a user; receiving sensor data; determining at least one measurement value based on the sensor data; detecting at least one first activity type specific change in the at least one measurement value; and activating a display in response to detecting the at least one first activity type specific change in the at least one measurement value.

A method, system, and/or apparatus for automatically monitoring for possible infection or other physical health concerns, such as from Covid-19. The method or implementing software application uses or relies upon location information available on the mobile device from any source, such as cell phone usage and/or other device applications. The method and system automatically uses and/or learns user location and activity patterns, and/or viral variant information, and determines an infection risk that can be communicated as a warning to the user or community members.

An automatic coaching system and method for an exercise state of a user include: a metric calculating step of calculating at least one metric by using data collected by an acceleration sensor or a location sensor worn by the user; a new coaching target metric selecting step of calculating an error rate between the calculated metric and a prestored metric reference value, selecting a new coaching target metric based on the error rate, and outputting a coaching message related to the coaching target metric; a new metric improvement verifying step of verifying new metric improvement occurrence when the new coaching target metric is not selected and outputting an alarm when the new metric improvement occurs; and an exercise state outputting step of outputting an alarm for an exercise state when the metric improvement and the new coaching target metric are not present.

Various embodiments provide systems and methods for identifying impairment using measurement devices.

Biometric feedback systems and methods for measuring user reaction to the indoor or outdoor environment are described. In some embodiments, one or more user(s) wears a body-worn sensor and the user's heart rate variability or other indication of stress is monitored as the user travels along a pre-determined route.