Abstract: A headset designed for inclusion of users with impairments is provided. The headset includes a frame, two eyepieces mounted on the frame, and at least one microphone and a speaker, mounted on the frame. The headset also includes a camera, a memory configured to store multiple instructions, and a processor configured to execute the instructions, wherein the instructions comprise to provide to a user an environmental context from a signal provided by the microphone and the camera. A method for using the above headset and a system for performing the method are also provided.

Abstract: A smart glass for incorporating speech recognition in an immersive reality environment is provided. The smart glass includes an eyepiece mounted on a frame including a transparent optical component to provide a user a view of a scene in a real world. The smart glass also includes a first camera configured to capture an image of a hand gesture from an interlocutor in the real world, and a processor configured to recognize, in the image of the hand gesture, a textual meaning. A system including memories storing instructions and processors to execute the instructions to perform methods for use of the above smart glass, and the methods, are also provided.

Abstract: Systems, methods, and non-transitory computer-readable media can receive an image. One or more concepts depicted in the image are identified based on machine learning techniques. The one or more concepts are filtered based on filtering criteria to identify one or more selected concepts. An image description is generated comprising the one or more selected concepts.

Abstract: A user device configures an informational message associated with a first user-interface element of a plurality of user-interface elements on a screen displayed by the user device to be read aloud by a screen reader upon display of the screen. Furthermore, the user device configures the first user-interface element to be read aloud by the screen reader in response to a user input to transition the screen reader from the informational message to the first user-interface element.

Abstract: In one embodiment, a method includes capturing one or more images of a physical environment surrounding the first user; determining that one or more of the images comprises a face; generating a facial image by cropping a region of the image comprising the face; sending instructions to perform facial recognition on the facial image; receiving a name associated with a second user of the online social network, wherein the face is associated with the second user, wherein the first user is represented by a first node on a social graph maintained by the social-networking system and the second user is represented by a second node on the social graph, and the first node and the second node are connected by at least one edge; and providing an audible indication of the name associated with the second user.

Abstract: A user device configures an informational message associated with a first user-interface element of a plurality of user-interface elements on a screen displayed by the user device to be read aloud by a screen reader upon display of the screen. Furthermore, the user device configures the first user-interface element to be read aloud by the screen reader in response to a user input to transition the screen reader from the informational message to the first user-interface element.

Abstract: Systems, methods, and non-transitory computer-readable media can receive an image. One or more concepts depicted in the image are identified based on machine learning techniques. The one or more concepts are filtered based on filtering criteria to identify one or more selected concepts. An image description is generated comprising the one or more selected concepts.

Abstract: In one embodiment, a method includes capturing one or more images of a physical environment surrounding the first user; determining that one or more of the images comprises a face; generating a facial image by cropping a region of the image comprising the face; sending instructions to perform facial recognition on the facial image; receiving a name associated with a second user of the online social network, wherein the face is associated with the second user, wherein the first user is represented by a first node on a social graph maintained by the social-networking system and the second user is represented by a second node on the social graph, and the first node and the second node are connected by at least one edge; and providing an audible indication of the name associated with the second user.