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WEARABLE MEDICAL DEVICE
A wearable medical device includes a frame and a lens coupled to the frame. The lens is configured to be positioned proximate eyes of a user. At least one lamp device is coupled to the frame. The at least one lamp device emits light forward from the frame. A controller activates and controls the at least one lamp device.

[0028] Additionally or alternatively, the wearable medical device 10 may include infrared (IR) sensors 122 disposed on the lenses 18 proximate the image sensors 120. The wearable medical device 10 illustrated in FIG. 2 includes one IR sensor 122 proximate each of the left and right eyes 22 of the user 26. However, the number of IR sensors 122 may differ without departing from the teachings herein. The IR sensors 122 may work in conjunction with, and/or independently of, the image sensors 120. Further, the IR sensors 122 may also detect the eye movement of the user 26. In various examples, the wearable medical device 10 includes an iris authentication function, which may be at least partially performed by the IR sensors 122 and/or the image sensors 120. The iris authentication function may utilize IR illumination of an iris of the eye 22 of the user 26 in order to illuminate the eye 22 for identification of the user 26. Such illumination may be optimized in conditions allowing for high optical transmittance in the near-infrared (NIR) range. The image sensors 120 may be in communication with at least one light source 62 in the visible light spectrum, or may correspond to at least one infrared emitter configured to output an emission of light 34 in the NIR range (e.g., about 700 nm to about 940 nm). The image sensors 120 may be configured to selectively activate the infrared emitters corresponding to the light source 62 to illuminate the iris, such that an identity of a user 26 of the wearable medical device 10 may be determined. Stated differently, the eyes 22 of the user 26 may be illuminated such that the image sensors 120 may capture an image for iris authentication. Once the user 26 is determined, the controller 38 may authorize use of various components of the wearable medical device 10 based on predefined and/or stored personal settings for selected users 26.
https://worldwide.espacenet.com/publicationDetails/biblio?II=1&ND=4&adjacent=true&locale=en_EP&FT=D&date=20201217&CC=US&NR=2020390392A1&KC=A1
https://www.freepatentsonline.com/20200390392.pdf

METHODS AND SYSTEMS FOR IMPROVING HUMAN FACIAL SKIN CONDITIONS BY LEVERAGING VEHICLE CAMERAS AND SKIN DATA AI ANALYTICS
Facial skin analysis methods and systems for improving facial skin conditions using vehicle cameras of vehicles having onboard communication modules. Each vehicle is equipped to analyze the facial skin images over time periods and compare the images to determine skin conditions. Based on the facial skin conditions, a treatment recommendation can be transmitted to a seat occupant. Each vehicle is operatively connected to a facial skin analysis application in a data center. The facial skin analysis application includes a registration module which registers each vehicle. Additionally, a vehicle user may register with the facial skin analysis application to have his/her facial skin analyzed when travelling in any of the plurality of vehicles. The facial skin analysis application is operatively connected to a skin data AI analytics module and data lake and searches a plurality of databases for information related to the facial skin conditions to improve the treatment recommendation.

[0014] In the exemplary embodiments, methods, systems and non-transitory computer readable medium having instructions stored therein that, when executed by one or more processor, cause the one or more processors to perform a method for improving facial skin conditions using interior vehicle cameras are described, comprising imaging the facial skin of at least one vehicle seat occupant by at least one vehicle camera each time the vehicle occupant occupies a seat in the vehicle, storing the images of the facial skin with timestamps of the images, comparing each current image with at least one previous image, determining changes between the current image and the at least one previous image, determining a facial skin condition based on the changes, accessing facial skin data which includes facial skin conditions based on at least one of age, gender, ethnic origins and medical diseases affecting the facial skin, accessing treatment options for the facial skin conditions, accessing facial skin care product information, determining a facial skin treatment recommendation based on the changes, the facial skin data, the treatment options and skin product information, and notifying the vehicle seat occupant of the facial skin changes and the facial skin treatment recommendation.
https://worldwide.espacenet.com/publicationDetails/biblio?II=29&ND=3&adjacent=true&locale=en_EP&FT=D&date=20211104&CC=US&NR=2021338146A1&KC=A1
https://www.freepatentsonline.com/20210338146.pdf

METHOD AND APPARATUS FOR IMAGE PROCESSING AND ASSOCIATED USER INTERACTION
Aspects of the disclosed technology relate to an apparatus including a memory and at least one processor. The at least one processor can obtain at least one image of a scene and determine a portion of interest within the scene based on a first input. The first input can include a non-touch input. The at least one processor can output, in response to the first input, content associated with the portion of interest and receive a second input from the user. The second input can include a non-eye gaze input and be associated with the content. An action can be initiated by the one or more processor based on the second input.

[0024] FIG. 2 is an illustration of an example AR device 200 in the form of a pair of eyeglasses. The AR device 200 is configured such that the user of the device is able to view real-world scenes through optical see-through HMDs together with content displayed on the HMDs, including both two-dimensional (2D) and three-dimensional (3D) AR content. The AR device 200 may also be configured to allow the user to interact with the content and possibly with remote devices, systems or networks through wireless communication. The AR device may also provide feedback to the user as a result of such interactions, including for example, audio, video or tactile feedback. To these ends, the example AR device 200 includes a pair of optical see-through HMDs 202, 204, an on-board processing system 206, one or more sensors, such as a scene camera 208, one or more eye tracking components (not visible) for each of the right eye and left eye, one or more user-interaction feedback devices 210 and a transceiver 212.

[0025] The processing system 206 and the eye tracking components provide eye tracking capability. Depending on the eye tracking technology being employed, eye tracking components may include one or both of eye cameras and infra-red emitters, e.g. diodes. The processing system 206 and the scene camera 208 provide gesture tracking capability.
https://worldwide.espacenet.com/publicationDetails/description?CC=US&NR=2021342387A1&KC=A1&FT=D&ND=3&date=20211104&DB=&locale=en_EP
https://www.freepatentsonline.com/20210342387.pdf

SYSTEM AND METHOD FOR DETERMINING A DRIVER IN A TELEMATIC APPLICATION
A system and method for a telematic application on a mobile electronic device that can include detecting, in the telematic application, vehicular travel; collecting, in the telematic application, driver status identification data; determining a driver status based on the driver status identification data; recording the driver status; and recording telematic data based on the driver status.

[0004] Vehicle telematic devices monitor the location, movements, status, and behavior of a vehicle. Such devices commonly use GPS receivers and an electronic device to transmit the collected data. The vehicle telematic devices may additionally include capabilities to interface with signals from the car. Such devices are often installed in the car or vehicle. Mobile phones contain similar sensing capabilities as telematic devices installed on the device and are owned by more people. However, mobile phones are often carried with a person, and vehicle travel experienced by a device may be when the owner is driving, a passenger in a car, a passenger on public transportation, or during any state of travel. Thus, there is a need in the vehicle telematic field to create a new and useful system and method for determining a driver status in a telematic application. This invention provides such a new and useful system and method.

[0014] The method functions to determine when a user of a device is driving or not driving. Knowing when a user is driving a vehicle or not can enable telematic data to be collected by a user device (e.g., mobile electronic device) and associated with the appropriate person. In one exemplary implementation, collecting telematic data and the driver associated with that data can be used in evaluating the risk of insuring a driver. As one application, a remote software platform can host and manage driving data for a plurality of different drivers. The drivers may each have a telematics application installed on a personal, mobile computing device that automatically detects when the user is driving and collects telematics data. Thus, the telematics application can be programmed in computer code to execute one or more blocks of the method 100 described herein, upon download, installation, and/or running of the telematics application on the mobile computing devices of the drivers. The instances of the telematics application running at mobile computing devices can coordinate one or more of: data collection, data transfer, data analysis, and feedback to the drivers or other entities (e.g., insurance providers) according to the method 100 described herein.
https://worldwide.espacenet.com/publicationDetails/description?CC=US&NR=2021312727A1&KC=A1&FT=D&ND=3&date=20211007&DB=&locale=en_EP
https://www.freepatentsonline.com/20210329432.pdf

https://www.zendrive.com/

DRIVER AND ENVIRONMENT MONITORING TO PREDICT HUMAN DRIVING MANEUVERS AND REDUCE HUMAN DRIVING ERRORS
Techniques are disclosed to detect, inform, and automatically correct typical awareness-related human driver mistakes. This may include those that are caused by a misunderstanding of the current situation, a lack of focus or attention, and/or overconfidence in any currently-engaged assistance features. The disclosure is directed to the prediction of vehicle maneuvers using driver and external environment modeling. The consequence of executing a predicted maneuver is categorized based upon its risk or danger posed to the driving environment, and the vehicle may execute various actions based upon the categorization of a predicted riving maneuver to mitigate or eliminate that risk.

[0083] Again, complementary information from driver facing cameras and road facing cameras, such as the images 402.1-402.N, 404.1-404.N as shown in FIG. 4, may be implemented to predict and classify types of ego-vehicle maneuvers. The spatio-temporal analysis architecture 600 as shown in FIG. 6 may be identified with the spatio-temporal analysis processing block 406 as shown and discussed above with reference to FIG. 4, which may also be identified with the driver and environment monitoring processing block 506 as shown in FIG. 5. The spatio-temporal analysis architecture 600 may thus function to predict a vehicle maneuver based upon an analysis of images of a driver of the vehicle and images external to the vehicle, and may utilize the recordings of at least two cameras to do so, which are mounted to record the driver's face and the road simultaneously. The recordings may include any suitable length of video samples such as 6 seconds, 8 seconds, 10 seconds, etc., which show images prior to the occurrence of the predicted vehicle maneuver. The recordings, which include the images 402.1-402.N and 404.1-404.N, may alternatively be referred to herein as a data, video, or image stream, or simply as a stream.
https://worldwide.espacenet.com/publicationDetails/biblio?CC=US&NR=2021309261A1&KC=A1&FT=D&ND=3&date=20211007&DB=&locale=en_EP
https://www.freepatentsonline.com/20210309261.pdf

TESTING SITUATIONAL AWARENESS OF DRIVERS TASKED WITH MONITORING A VEHICLE OPERATING IN AN AUTONOMOUS DRIVING MODE
[0086] In other instances, test driver's gaze is directed to an object that a that is not the most appropriate to be watched at the current point in time, the testing system may provide a visual or audible notification to a test driver such as “please be aware of nearby vulnerable users as they may be moving in an unsafe manner” and then watch for test driver's responsive behavior. In this regard, the test driver may actually actively move his or her head to explore the environment and end up looking at an object that is more relevant. For example, if the test driver's gaze is looking away from a bicyclist, the vehicle's computing devices may request that the test driver look at the bicyclist specifically or simply provide the aforementioned notification.

[0091] Answers to questions may also be used to help various systems of the vehicle 200 to better classify objects. For instance, some test drivers may be given different questions or directions (or none) when they pass a given area so the difference in driver physical responses may inform classification models. For example, when a vehicle is passing a school zone some drivers may be asked to pay special attention to children on bicycles, groups of more than one child, children not accompanied by adults etc. while other drivers do not get such direction. As a result, the gaze trajectory for drivers with a direction should be different from a gaze trajectory for drivers without a direction and this difference may be an input to object classification algorithms. Such difference may also be an input into driver fatigue model where the difference between driver behavior with a direction vs with no direction may help estimate driver attentiveness, distraction, fatigue, etc.

[0092] In addition, when gaze trajectories of a first group of test drivers with directions deviate noticeably from gaze trajectories of a second group test drivers without directions, this may suggest there are “active” circumstances (e.g. children playing, groups of pedestrians, a high-volume of traffic, etc.) in the area that allow marking the area as “higher risk” and be used to block some vehicles and/or test drivers from visiting the area. Such as vehicles with software known to have issues with identifying certain types of object. When gaze trajectories in the first and second groups are indistinguishable, this may suggest that there are no “active” circumstances in the area. As such, the area can be open to vehicles and/or test drivers who would otherwise (e.g. were there “active” circumstances) not be permitted to drive there.
https://worldwide.espacenet.com/publicationDetails/biblio?CC=WO&NR=2021188539A1&KC=A1&FT=D&ND=3&date=20210923&DB=&locale=en_EP
https://www.freepatentsonline.com/WO2021188539A1.pdf

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