A recipient-aware message delivery system observes user activity via sensor hardware, such as a camera, microphone, or biometric or environmental condition sensor, and captures recipient activity data via the sensor. The activity data is analyzed to determine whether the recipient is in a stressed state, e.g., using facial and/or voice recognition, biometric and environmental data, etc. Messages intended for delivery to the recipient are processed. This may involve simply receiving a message intended for immediate delivery or determining whether the message content is likely to be stress-inducing. The system selectively delays delivery of messages to the recipient as a function of the recipient’s stress level by delivering messages without delay when the recipient is not in the stressed state, and by delaying before delivering if the recipient is in the stressed state. Accordingly, the system monitors a message recipient and intervenes when needed to prevent unnecessary stress.

A control device includes a controller. The controller detects, as an event, that a target present outside a vehicle has been overlooked by a driver of the vehicle during. The controller controls the outputting of a target image, which is an image including the target overlooked in the detected event, toward the driver.

Systems and methods are provided for video calling at a wrist-wearable device. The method includes receiving, at a wrist-wearable device that is coupled with one or more sensors, video data and audio data associated with a video call between a user of the wrist-wearable device and at least one other user distinct from the user. The method further includes while causing presentation of the video data via a display of the wrist-wearable device and the audio data via a speaker that is in communication with the wrist-wearable device, determining whether sensed data from the one or more sensors indicates that a video-viewing precondition is present at the wrist-wearable device. If the video-viewing precondition is not present at the wrist-wearable device, the method includes continuing to cause presentation of the audio data and ceasing to cause presentation of the video data at the wrist-wearable device.

This disclosure provides a video processing apparatus that detects biometric information of an object from a video of the object composed of a plurality of time-series images, wherein the apparatus comprises an acquiring unit which receives the video input thereto, and acquires a skin area of an object; a determining unit which determines correction coefficients based on a color of the skin area and a color indicating a target hue, the correction coefficients being for approximating a hue of pixels in the skin area to the target hue; a correcting unit which corrects, with use of the correction coefficients, the pixels in the skin area in each of the frames composing the video; and a detecting unit which detects biometric information of the object based on time-series images of the skin area after the correction by the correcting unit.

The present invention relates to the field of medical monitoring, and, in particular, to non-contact detecting and monitoring of patient breathing. Systems, methods, and computer readable media are described for calculating a change in depth of a region of interest (ROI) on a patient and assigning one or more visual indicators to at least a portion of a graphic based on the calculated changes in depth and/or based on a tidal volume signal generated for the patient. In some embodiments, the systems, methods, and/or computer readable media can display the visual indicators overlaid onto at least the portion in real-time and/or can display the tidal volume signal in real-time. The systems, methods, and/or computer readable media can trigger an alert and/or an alarm when a breathing abnormality is detected.

Methods, devices, and systems related to determining biometric data using an array of infrared (IR) illuminators are described. In an example, a method can include projecting a number of IR dots on a user using a dot projector and an array of IR illuminators, capturing an IR image of the number of IR dots using an IR camera, comparing a number of pixels of the captured IR image to a number of corresponding pixels of a baseline IR image using a processing resource, and determining biometric data of the user at least partially based on comparing the captured IR image to the baseline IR image using the processing resource.

Implementing fingerprint authentication during a swipe motion on a display.

Electronic equipment includes a display and an optical fingerprint sensor. The display includes a display surface including light-emitting pixels in an array in a first direction and a direction intersecting the first direction. The optical fingerprint sensor includes as imaging element including light-receiving elements in an array in the first direction and the second direction on a side opposite to the display surface of the display in a third direction intersecting the first direction and the second direction, and each of the light-receiving elements transfers a photoelectrically converted charge at the same timing.

An apparatus for estimating bio-information may include an optical sensor comprising a light emitter disposed on a substrate, and a plurality of light receiving groups which are arranged on a plurality of concentric circles on the substrate, at different distances from the light emitter, respectively, and a processor configured to drive one of the plurality of light receiving groups that is selected based on a type of the bio-information to be estimated, and estimate the bio-information of an object based on optical signals detected by the driven light receiving group

Systems and methods for biometric authentication in ophthalmic devices are provided. In one embodiment, a system includes: an ophthalmic diagnostic device configured to obtain diagnostic measurements of a patient's eye, the patient's eye including an iris and a cornea; an imaging device configured to capture an image of the iris; an optical sensor integrated with the imaging module and configured to detect a position of the iris with respect to the optical sensor; and a computing device in communication with the ophthalmic diagnostic device, imaging device, and the optical sensor. The computing device may be configured to: determine, based on the image of the iris and the position of the iris, whether the iris matches a known patient's iris; and perform a diagnostic measurement of the patient's eye based on the determining.

A device includes a first biometric sensor formed on a substrate and configured to access a first biometric feature of a user, and a second biometric sensor arranged under the first biometric sensor and configured to access second a biometric feature of the user. The second biometric sensor includes a light emitter configured to emit light to reach the user through the substrate and receive a reflection light for deriving the second biometric feature.