Abstract: Systems and techniques are described for improving the accuracy of autonomous vehicle simulations by dynamically assigning friction coefficients to road features based on sensor data. A method of the disclosed technology can include steps for associating a predetermined friction coefficient to road features; receiving sensor data from a sensor on an autonomous vehicle; identifying, from the sensor data, the presence of a road feature; assigning in a simulation, a friction coefficient corresponding to the road feature based on the predetermined friction coefficient associated with road feature; and generating, based on the assigned friction coefficient, a simulation of a trip by the autonomous vehicle as the autonomous vehicle traverses the road feature.

Abstract: A toe box protector, for removable insertion into a toe box of a sneaker to prevent the upper surface of the toe box from creasing, including a central portion defining a front part of the toe box protector and, adjacent thereto, first and second opposite wing portions which extend rearwardly of the central portion. The central portion and the first and second opposite wing portions define upper and lower edges of the toe box protector having a sandwich structure of outer and inner layers of flexible cellular foam, and an intermediate core layer of a reinforcement layer of solid polymeric material. The intermediate core layer has a lower edge spaced inwardly from the lower edge of the toe box protector, the lower edge having a two layer structure of a peripheral flexible unreinforced lower band in which the outer layer is bonded directly to the inner layer.

Abstract: A remote user device communicatively couples to and/or controls an electronic device (e.g., a medical device) on a private network (including a firewall) from a remote location. A service enables communication between the remote user device and the electronic device. A remote user device sends a connection request to the service using a browser user interface. The service receives the connection request from the remote user device and establishes a connection to the remote user device. The service also communicatively couples to the electronic device via a gateway. The remote user device provides one or more inputs via a user interface to the service. The service transmits the one or more inputs to the gateway, which then transmits the one or more inputs to the electronic device to control operation of the electronic device.

Abstract: Systems and techniques are described for improving the accuracy of autonomous vehicle simulations by dynamically assigning friction coefficients to road features based on sensor data. A method of the disclosed technology can include steps for associating a predetermined friction coefficient to road features; receiving sensor data from a sensor on an autonomous vehicle; identifying, from the sensor data, the presence of a road feature; assigning in a simulation, a friction coefficient corresponding to the road feature based on the predetermined friction coefficient associated with road feature; and generating, based on the assigned friction coefficient, a simulation of a trip by the autonomous vehicle as the autonomous vehicle traverses the road feature.

Abstract: A corrugated construction element (100) for drywall and ceiling construction is disclosed. The corrugated construction element (100) comprises a base profile (101) connected to at least one leg profile (102a) or (102b). The base profile (101) and/or at least one leg profile (102a) or (102b) comprise an array of angular corrugations (110) extending across their surface in a non-parallel direction to the principal axis L of the corrugated construction element (100). The disclosure also relates to an apparatus and a method for forming a corrugated profile (770).

Abstract: A method for recognizing persons in video streams includes obtaining a live video stream, detecting a first person in the live video stream, determining from analysis of the live video stream first information that identifies an attribute of the first person, determining based on at least some of the first information that the first person is not identifiable to the computing system, storing at least some of the first information, receiving a user classification of the first person as being a stranger, and deleting the stored first information.

Abstract: A method for recognizing persons in video streams includes obtaining a live video stream, detecting a first person in the live video stream, determining from analysis of the live video stream first information that identifies an attribute of the first person, determining based on at least some of the first information that the first person is not identifiable to the computing system, storing at least some of the first information, receiving a user classification of the first person as being a stranger, and deleting the stored first information.

Abstract: The various embodiments described herein include methods, devices, and systems for providing event alerts. In one aspect, a method includes obtaining a video feed. A frame of the video feed is analyzed at a first resolution to determine whether the frame includes a potential instance of a person. In accordance with the determination that the image includes the potential instance, a region is denoted around the potential instance. The region is analyzed at a second resolution, greater than the first resolution. In accordance with a determination that the region includes the instance of the person. a determination that the frame includes the person is made. An indication of the determination is stored for use in subsequent alert notification processing.

Abstract: A computing system obtains a video feed. For a frame of the video feed, the computing system analyzes the frame to determine whether the frame includes a potential instance of an event. In accordance with a determination that the frame includes the potential instance of an event, the computing system determines for the event an event category from a plurality of predefined event categories. It stores an indication of the event category. It determines whether the event category matches a predefined notification filter definition. In accordance with a determination that the event category matches the predefined notification filter definition, the computing system issues an alert notification to a user client device. In accordance with a determination that the event category does not match the predefined notification filter definition, the computing system refrains from issuing the alert notification.

Abstract: Methods, systems, and devices for automatically customizing operation of a robotic vehicle are described. The method may include identifying an operator, retrieving an operator profile and associated metadata for the operator from a database, where the metadata includes operator habit information, and configuring the robotic vehicle based on existing preference-based and performance-based settings, where the existing preference-based and performance-based settings are based on the metadata. The methods may include identifying operator habit information during operation of the robotic vehicle, deriving updated preference-based and performance-based settings for the operator based on the identified operator habit information, and providing, to the database, modifications to the metadata associated with the operator profile of the operator.

Abstract: A method is performed at a system that comprises one or more video cameras and a remote server system. The method includes obtaining, via a video camera of the one or more video cameras, a continuous stream of video data for a scene. The video data stream comprises color video data in accordance with a determination that the scene has illumination above an illumination threshold and comprises infrared (IR) video data in accordance with a determination that the scene does not have illumination above the illumination threshold. The method includes colorizing the IR video data based on a subset of the color video data. The method further includes presenting the colorized video data to a user in real time.

Abstract: A method for recognizing persons in video streams includes obtaining a live video stream, detecting a first person in the live video stream, determining from analysis of the live video stream first information that identifies an attribute of the first person, determining based on at least some of the first information that the first person is not identifiable to the computing system, storing at least some of the first information, receiving a user classification of the first person as being a stranger, and deleting the stored first information.

Abstract: A stiffener 50 for construction elements for providing resistance against deflection and cracking is disclosed comprising a U-shaped cross-section with a web 10 and two flanges 20a, 20b extending transversely from the web 10 and having ribs 30 rising parallel, perpendicular or diagonal from the flanges 20a, 20b. The stiffener 50 is configured to be fixed within the construction element. A drywall stud and a ceiling section provided with a plurality of stiffeners 50 of the present disclosure spaced at desired locations along their length is also disclosed. Such drywall studs and ceiling sections comprising stiffeners 50 of the present disclosure reduce deflection of drywall partition and suspended ceiling system, respectively by up to 50%.

Abstract: The various implementations described herein include systems and methods for recognizing persons in video streams. In one aspect, a method includes: (1) obtaining a live video stream; (2) detecting person(s) in the stream; and (3) determining, from analysis of the live video stream, personally identifiable information of the detected person(s); (4) determining, based on the personally identifiable information, that the first person is not known to the computing system; (5) in accordance with the determination that the first person is not known: (a) storing the personally identifiable information; and (b) requesting a user to classify the first person; and (6) in accordance with (i) a determination that a predetermined amount of time has elapsed since the request was transmitted and a response was not received, or (ii) a determination that a response was received classifying the first person as a stranger, deleting the stored personally identifiable information.

Abstract: A method for recognizing persons in video streams includes obtaining a live video stream, detecting a first person in the live video stream, determining from analysis of the live video stream first information that identifies an attribute of the first person, determining based on at least some of the first information that the first person is not identifiable to the computing system, storing at least some of the first information, receiving a user classification of the first person as being a stranger, and deleting the stored first information.

Abstract: A speaker identification system and method to identify a speaker based on the speaker's voice is disclosed. In an exemplary embodiment, the speaker identification system comprises a Gaussian Mixture Model (GMM) for speaker accent and dialect identification for a given speech signal input by the speaker and an Artificial Neural Network (ANN) to identify the speaker based on the identified dialect, in which the output of the GMM is input to the ANN.

Abstract: The present invention relates to the field of diabetes. More specifically, the present invention provides compositions and methods useful for diagnosing and treating Type I diabetes. In one embodiment, a method comprises detecting a nucleotide sequence encoding SEQ ID NO:1 from a biological sample obtained from a patient. In another embodiment, the present invention provides an antibody or antigen-binding fragment thereof that specifically binds SEQ ID NO:1. In a further embodiment, the present invention provides an antibody or antigen-binding fragment thereof that specifically binds (i) a B-cell receptor expressed on a lymphocyte, wherein the B-cell receptor comprises SEQ ID NO:1; or (ii) a free-floating antibody comprising SEQ ID NO:1.

Abstract: Systems, methods, and computer-readable storage media facilitating automated testing of datasets including natural language data are disclosed. In the disclosed embodiments, rule sets may be used to condition and transform an input dataset into a format that is suitable for use with one or more artificial intelligence processes configured to extract parameters and classification information from the input dataset. The parameters and classes derived by the artificial intelligence processes may then be used to automatically generate various testing tools (e.g., scripts, test conditions, etc.) that may be executed against a test dataset, such as program code or other types of data.

Abstract: The various implementations described herein include systems and methods for recognizing persons in video streams. In one aspect, a method includes: obtaining images collected by video cameras in a smart home environment, each image including a detected person; for each image, obtaining first information that identifies an attribute of the detected person, the first information generated from analysis of the image; grouping the images into a first group of a plurality of groups based on the first information, each group of the plurality of groups representing a unique person; receiving a request to remove a first image from the first group; removing the first image from the first group; and disassociating the first information from the first group.

Abstract: A method is performed at a system that comprises one or more video cameras and a remote server system. The method includes obtaining, via a video camera of the one or more video cameras, a continuous stream of video data for a scene. The video data stream comprises color video data in accordance with a determination that the scene has illumination above an illumination threshold and comprises infrared (IR) video data in accordance with a determination that the scene does not have illumination above the illumination threshold. The method includes colorizing the IR video data based on a subset of the color video data. The method further includes presenting the colorized video data to a user in real time.