Abstract: A visor for a helmet is disclosed. The visor includes a first lens member, which includes a first transparent shield configured with a photochromic layer. The photochromic layer is configured to adjust a first transmission state of a first viewing area of the first lens member based on the transmission of ambient light through the first viewing area. The visor also includes a second lens member that includes an electrochromic layer. The electrochromic layer is configured to adjust the transmission of ambient light through a second viewing area upon an application of a voltage to the electrochromic layer. The visor also includes a controller configured to adjust a voltage applied to the electrochromic layer, and an attachment element coupled to the first lens member configured to attach to a headgear.

Abstract: A system is disclosed that display configured to transmit a signal that includes a first light configured as a display image and a second light configured as a reference image. The system also includes a beam splitter, a selectively transmissive mirror and a sensor configured to detect the second light. The beam splitter is configured to receive the signal from the display and reflect the signal to the selectively transmissive mirror. The selectively transmissive mirror is configured to receive the reflected signal, transmit the second light toward a sensor, and reflect the first light, wherein the first light is configured with a first bandwidth, wherein the second light is configured with a second bandwidth. The system further includes a corrector lens configured to receive the first light and transmit the first light to an exit pupil.

Abstract: A system includes a vibration detector to detect a location of vibration and identify a frequency of the vibration. The system also includes a controller to generate audio corresponding to the frequency of vibration detected by the vibration detector and one or more speakers configured to provide the audio as directional sound.

Abstract: A system and method for monitoring the status of a pixelated display defines one or more pixel locations or clusters of pixels to be dithered. A monitor determines if the specified pixels or clusters of pixels demonstrate dithering. Detection of the expected dithering indicates a functional display while failure to detect the dithering indicates a failed display. Brightness levels are monitored to detect a failure in brightness leveling. Brightness is monitored at the same locations.

Abstract: An apparatus includes a memory and a processor. The memory stores first and second machine learning algorithms. The processor receives, from a user, voice signals associated with an information request and converts them into text. The processor uses the first machine learning algorithm to determine, based on the text, to automatically generate a reply to the request, rather than transmitting the request to an agent. This determination indicates that the text is associated with a probability that the automatically generated reply includes the requested information that is greater than a threshold. The processor uses the second machine learning algorithm to generate, based on the set of text, the reply, which it transmits to the user. The processor receives feedback associated with the reply, indicating that the reply does or does not include the requested information. The processor uses the feedback to update either or both machine learning algorithms.

Abstract: An interactive voice response system for interpreting sentiment of a conversation in real time is provided. The system may include a receiver. The receiver may be operable to receive a plurality of sentiment signals and a first portion of a conversation. The first portion of the conversation may include a plurality of interaction pairs. Each interaction pair may include an utterance and a system response. The system may include an utterance sentiment category determination module that may be operable to determine a sentiment category for each utterance. The system may include a sequential module. The sequential module may determine a conversation sentiment category based on the utterance sentiment categories and the order in which the utterance sentiment categories are received. The system may include an output module. The output module may output the conversation sentiment category. The conversation sentiment category may be used to determine a future system response.

Abstract: An optical system is disclosed. The optical system includes collimating optics, including a polarization beam splitter, which includes one or more polarizations selection reflection surfaces configured to split image light into (s)-polarized light and (p)-polarized light. The collimating optics further include a first mirror configured to receive and reflect (p)-polarized light emitted from the one or more polarization selective reflection surfaces, a second mirror configured to receive and reflect (s)-polarized light emitted from the one or more polarization selective reflection surface, and a corrector lens configured to receive (p)-polarized light reflected from the first mirror and receive (s)-polarized light reflected from the second mirror, wherein a light path of the (s)-polarized light and a light path of the (p)-polarized light are substantially equal, wherein the (p)-polarized light and the (s)-polarized light are configured to combine to form a user image.

Abstract: A facility for procuring and analyzing information about an anatomical surface feature from a caregiver that is usable to generate an assessment of the surface feature is described. The facility displays information about the surface feature used in the assessment of the surface feature. The facility obtains user input and/or data generated by an image capture device to assess the surface feature or update an existing assessment of the surface feature.

Abstract: An electric machine comprising: a stator assembly; a rotor assembly; and a support body. The rotor assembly comprises a shaft to which is mounted a first bearing and a second bearing either side of a permanent magnet, and the support body comprises first and second bearing seats to which the bearings of the rotor assembly are mounted, wherein the first bearing is mounted to the first bearing seat by adhesive, and the second bearing is soft-mounted to the second bearing seat by an o-ring.

Abstract: A method for identifying and correcting fixed pattern noise includes capturing a focused image and an unfocused image via a variable focus lens. Fixed pattern noise represented in the unfocused image is filtered from the focused image. The unfocused image represents a low-pass filtered component of the focused image; subtracting the unfocused image from the focused image results in a high-pass and fixed pattern noise filtered focused image. Image capture and focus of the variable focus lens are synchronized to remove transitional frames from the image stream.

Abstract: A system and method for a head up display (HUD) can mitigate glare. The head up display can include a waveguide combiner including an input grating and an output grating and a glare mitigator disposed to prevent glare through the output grating from reaching an eye box. The glare mitigator can be a shade, a diffuser, a dimming element, or other device for mitigating glare. The glare mitigator can be an active or passive glare mitigator.

Abstract: An electric machine comprising: a stator assembly; a rotor assembly; and a support body. The rotor assembly comprises a shaft to which is mounted a first bearing and a second bearing either side of a permanent magnet, and the support body comprises first and second bearing seats to which the bearings of the rotor assembly are mounted, wherein the first bearing is mounted to the first bearing seat by adhesive, and the second bearing is soft-mounted to the second bearing seat by an o-ring.

Abstract: An interactive voice response system for interpreting sentiment of a conversation in real time is provided. The system may include a receiver. The receiver may be operable to receive a plurality of sentiment signals and a first portion of a conversation. The first portion of the conversation may include a plurality of interaction pairs. Each interaction pair may include an utterance and a system response. The system may include an utterance sentiment category determination module that may be operable to determine a sentiment category for each utterance. The system may include a sequential module. The sequential module may determine a conversation sentiment category based on the utterance sentiment categories and the order in which the utterance sentiment categories are received. The system may include an output module. The output module may output the conversation sentiment category. The conversation sentiment category may be used to determine a future system response.

Abstract: A fabric made by the method of providing a non-woven batt having flame retardant fibers, stitch bonding the non-woven batt with an elastic yarn, and heat setting the stitch bonded, non-woven batt. The stitch bonded non-woven batt is exposed to a temperature in a range of 160° C. to 200° C. for a period in a range of 30 seconds to 120 seconds. In an embodiment, the fabric is adapted for use as a mattress core cover.

Abstract: An entity may generate generic notifications for transmittal to a plurality of customers. One of the notifications may not be properly customized for a customer to whom the notification is scheduled for deployment. A system is provided that generates and refines generic notifications using artificial intelligence (“AI”). The system may include an application server running an AI engine for periodically monitoring, at a given point in time, historical customer data relating to less than a predetermined number of customers to ensure reduced, relative to a predetermined baseline, processing usage. The AI engine may determine, during the monitoring, that notifications transmitted by the platform to one of the customers have failed to elicit a positive response from the customer. The determination may prompt the AI engine to put the generic notification on hold for the customer and to perform additional steps to alter the generic notification to a targeted notification.

Abstract: A facility for procuring and analyzing information about an anatomical surface feature from a caregiver that is usable to generate an assessment of the surface feature is described. The facility displays information about the surface feature used in the assessment of the surface feature. The facility obtains user input and/or data generated by an image capture device to assess the surface feature or update an existing assessment of the surface feature.

Abstract: A system may include a space suit helmet. The space suit helmet may include a surface structure, an inner surface structure, and a waveguide display. The inner surface structure may be configured to maintain an oxygenated environment within an interior cavity of the space suit helmet, wherein a user is able to see through the inner surface structure and the surface structure. The waveguide display may be implemented at least one of in or on the space suit helmet. The waveguide display may include a waveguide and an optical system configured to project images at least through the waveguide to be displayed to the user.

Abstract: A system may include a space suit helmet. The space suit helmet may include a surface structure, an inner surface structure, and a waveguide display. The inner surface structure may be configured to maintain an oxygenated environment within an interior cavity of the space suit helmet, wherein a user is able to see through the inner surface structure and the surface structure. The waveguide display may be implemented at least one of in or on the space suit helmet. The waveguide display may include a waveguide and an optical system configured to project images at least through the waveguide to be displayed to the user.

Abstract: An entity may generate generic notifications for transmittal to a plurality of customers. One of the notifications may not be properly customized for a customer to whom the notification is scheduled for deployment. A system is provided that generates and refines generic notifications using artificial intelligence (“AI”). The system may include an application server running an AI engine for periodically monitoring, at a given point in time, historical customer data relating to less than a predetermined number of customers to ensure reduced, relative to a predetermined baseline, processing usage. The AI engine may determine, during the monitoring, that notifications transmitted by the platform to one of the customers have failed to elicit a positive response from the customer. The determination may prompt the AI engine to put the generic notification on hold for the customer and to perform additional steps to alter the generic notification to a targeted notification.

Abstract: A system for characterizing a visor mounted to a helmet, the helmet having at least one projector for directing light to reflect off the visor to image to an eye position, is described. The system includes a mounting structure configured to mount an image detector to the helmet, the image detector arranged to detect an image at the eye position, and a controller. The controller is configured to provide a test pattern, receive a detected image from the image detector disposed at an eye position based on the test pattern, compare the detected image to the test pattern to determine a characterization error corresponding to a distortion of the detected image, determine a correction function to correct the distortion, and correct for the distortion based on the correction function.