Abstract: A user-interface for visualizing a colonoscopy procedure includes a video region and a navigational map upon which coverage annotations are displayed. A live video feed received from a colonoscope is displayed in the video region. The navigational map depicts longitudinal sections of a colon. The coverage annotations are presented on the navigation map and indicate whether one or more of the longitudinal sections is deemed adequately inspected or inadequately inspected during the colonoscopy procedure.

Abstract: Aspects of the disclosure relate to methods, apparatus, and systems for oscillating transparent digital displays to generate a three-dimensional (3D) holographic image. A holographic imaging system includes a plurality of digital screens, wherein each screen of the plurality of digital screens is positioned parallel to an x-axis and a y-axis, and the screens are stacked along a z-axis perpendicular to the x-axis and the y-axis, a propulsion system configured to oscillate the plurality of digital screens along the z-axis, and a control system. The control system is configured to generate a digital image, display different slices of the digital image on the plurality of digital screens, and activate the propulsion system to oscillate the plurality of digital screens in synchronization with the display of the different slices on the screens to generate a three-dimensional (3D) image.

Abstract: The present disclosure is directed towards systems and methods that leverage machine-learned models to decrease the rate at which abnormal sites are missed during a gastroenterological procedure. In particular, the system and methods of the present disclosure can use machine-learning techniques to determine the coverage rate achieved during a gastroenterological procedure. Measuring the coverage rate of the gastroenterological procedure can allow medical professionals to be alerted when the coverage output is deficient and thus allow an additional coverage to be achieved and as a result increase in the detection rate for abnormal sites (e.g., adenoma, polyp, lesion, tumor, etc.) during the gastroenterological procedure.

Abstract: A user-interface for aiding navigation of an endoscope through a lumen of a tubular anatomical structure during an endoscopy procedure includes a video region in which a live video feed received from the endoscope is displayed and an observation location map. The observation location map depicts a point of observation from which the live video feed is acquired within the lumen relative to a cross-sectional depiction of the lumen as the endoscope longitudinally traverses the tubular anatomical structure within the lumen during the endoscopy procedure.

Abstract: A ride system includes a first ride vehicle having a first magnet exposed along a first exterior side of the first ride vehicle and a first additional magnet exposed along a first additional exterior side of the first ride vehicle. The ride system includes a second ride vehicle having a second magnet exposed along a second exterior side of the second ride vehicle and a second additional magnet exposed along a second additional exterior side of the second ride vehicle.

Abstract: Computer implemented method for detecting a hand gesture of a user, comprising: (a) Receiving sequential logic models each representing a hand gesture. The sequential logic model maps pre-defined hand poses and motions each represented by a hand features record defined by discrete hand values each indicating a state of respective hand feature. (b) Receiving a runtime sequence of runtime hand datasets each defined by discrete hand values scores indicating current state hand features of a user's moving hand which are inferred by analyzing timed images depicting the moving hand. (c) Submitting the runtime hand datasets and the pre-defined hand features records in SSVM functions to generate estimation terms for the runtime hand datasets with respect to the hand features records. (d) Estimating which of the hand gestures best matches the runtime sequence depicted in the timed images by optimizing score functions using the estimation terms for the runtime hand datasets.

Abstract: A user-interface for visualizing a colonoscopy procedure includes a video region and a navigational map upon which coverage annotations are displayed. A live video feed received from a colonoscope is displayed in the video region. The navigational map depicts longitudinal sections of a colon. The coverage annotations are presented on the navigation map and indicate whether one or more of the longitudinal sections is deemed adequately inspected or inadequately inspected during the colonoscopy procedure.

Abstract: A user-interface for aiding navigation of an endoscope through a lumen of a tubular anatomical structure during an endoscopy procedure includes a video region in which a live video feed received from the endoscope is displayed and an observation location map. The observation location map depicts a point of observation from which the live video feed is acquired within the lumen relative to a cross-sectional depiction of the lumen as the endoscope longitudinally traverses the tubular anatomical structure within the lumen during the endoscopy procedure.

Abstract: Embodiments of a system, a machine-accessible storage medium, and a computer-implemented method are described in which operations are performed. The operations comprising receiving a plurality of image frames associated with a video of an endoscopy procedure, generating a probability estimate for one or more image frames included in the plurality of image frames, and identifying a transition in the video when the endoscopy procedure transitions from a first phase to a second phase based, at least in part, on the probability estimate for the one or more image frames. The probability estimate includes a first probability that one or more image frames are associated with a first phase of the endoscopy procedure.

Abstract: Computer implemented method for detecting a hand gesture of a user, comprising: (a) Receiving sequential logic models each representing a hand gesture. The sequential logic model maps pre-defined hand poses and motions each represented by a hand features record defined by discrete hand values each indicating a state of respective hand feature. (b) Receiving a runtime sequence of runtime hand datasets each defined by discrete hand values scores indicating current state hand features of a user's moving hand which are inferred by analyzing timed images depicting the moving hand. (c) Submitting the runtime hand datasets and the pre-defined hand features records in SSVM functions to generate estimation terms for the runtime hand datasets with respect to the hand features records. (d) Estimating which of the hand gestures best matches the runtime sequence depicted in the timed images by optimizing score functions using the estimation terms for the runtime hand datasets.

Abstract: Computer implemented method for detecting a hand gesture of a user, comprising: (a) Receiving sequential logic models each representing a hand gesture. The sequential logic model maps pre-defined hand poses and motions each represented by a hand features record defined by discrete hand values each indicating a state of respective hand feature. (b) Receiving a runtime sequence of runtime hand datasets each defined by discrete hand values scores indicating current state hand features of a user's moving hand which are inferred by analyzing timed images depicting the moving hand. (c) Submitting the runtime hand datasets and the pre-defined hand features records in SSVM functions to generate estimation terms for the runtime hand datasets with respect to the hand features records. (d) Estimating which of the hand gestures best matches the runtime sequence depicted in the timed images by optimizing score functions using the estimation terms for the runtime hand datasets.

Abstract: A surface-mounted vehicle includes a body and a mounting system configured to couple the surface-mounted vehicle to a surface. The surface-mounted vehicle also includes a propulsion system configured to move the surface-mounted vehicle along the surface. In addition, the surface-mounted vehicle includes a rail coupling system having at least one rail coupled to the body. The at least one rail is configured to couple a component to the surface-mounted vehicle. The rail coupling system also includes multiple electrical connectors disposed along the at least one rail. The electrical connectors are configured to provide electrical power to the component.

Abstract: The present disclosure is directed towards systems and methods that leverage machine-learned models to decrease the rate at which abnormal sites are missed during a gastroenterological procedure. In particular, the system and methods of the present disclosure can use machine-learning techniques to determine the coverage rate achieved during a gastroenterological procedure. Measuring the coverage rate of the gastroenterological procedure can allow medical professionals to be alerted when the coverage output is deficient and thus allow an additional coverage to be achieved and as a result increase in the detection rate for abnormal sites (e.g., adenoma, polyp, lesion, tumor, etc.) during the gastroenterological procedure.

Abstract: A ride system includes a first ride vehicle having a first magnet exposed along a first exterior side of the first ride vehicle and a first additional magnet exposed along a first additional exterior side of the first ride vehicle. The ride system includes a second ride vehicle having a second magnet exposed along a second exterior side of the second ride vehicle and a second additional magnet exposed along a second additional exterior side of the second ride vehicle.

Abstract: Computer implemented method for detecting a hand gesture of a user, comprising: (a) Receiving sequential logic models each representing a hand gesture. The sequential logic model maps pre-defined hand poses and motions each represented by a hand features record defined by discrete hand values each indicating a state of respective hand feature. (b) Receiving a runtime sequence of runtime hand datasets each defined by discrete hand values scores indicating current state hand features of a user's moving hand which are inferred by analyzing timed images depicting the moving hand. (c) Submitting the runtime hand datasets and the pre-defined hand features records in SSVM functions to generate estimation terms for the runtime hand datasets with respect to the hand features records. (d) Estimating which of the hand gestures best matches the runtime sequence depicted in the timed images by optimizing score functions using the estimation terms for the runtime hand datasets.

Abstract: Computer implemented method for detecting a hand gesture of a user, comprising: (a) Receiving sequential logic models each representing a hand gesture. The sequential logic model maps pre-defined hand poses and motions each represented by a hand features record defined by discrete hand values each indicating a state of respective hand feature. (b) Receiving a runtime sequence of runtime hand datasets each defined by discrete hand values scores indicating current state hand features of a user's moving hand which are inferred by analyzing timed images depicting the moving hand. (c) Submitting the runtime hand datasets and the pre-defined hand features records in SSVM functions to generate estimation terms for the runtime hand datasets with respect to the hand features records. (d) Estimating which of the hand gestures best matches the runtime sequence depicted in the timed images by optimizing score functions using the estimation terms for the runtime hand datasets.

Abstract: A ride assembly includes a ride vehicle configured to carry one or more passengers and to move in a direction along a ride path, a first passenger seat of the ride vehicle having a seatback, where the first passenger seat is configured to seat a first passenger of the one or more passengers, and where the seatback is configured to rotate with respect to the ride vehicle from a loading position to an active position, a second passenger seat of the ride vehicle positioned behind the first passenger seat with respect to the direction, where the second passenger seat is configured to seat a second passenger of the one or more passengers, and a passenger restraint coupled to the seatback of the first passenger seat, where the passenger restraint is configured to secure the second passenger in the second passenger seat when the seatback is in the active position.

Abstract: A motion simulator ride assembly including a motion base and a rider support assembly positioned beneath and coupled to the motion base. The rider support assembly includes a plurality of rider support units each including a saddle having a leading end, a tail end, and a superior surface that may support a rider in a facedown position and a restraint system that may secure the rider onto the rider support. The restraint system includes a rotating restraint having an attachment point on the saddle, and the rotating restraint may move relative to the superior surface to move the rotating restraint from an unrestrained configuration to a restrained configuration, and the rotating restraint may abut against a posterior surface of a torso of the rider when the rotating restraint is in the restrained configuration. The motion simulator ride assembly also includes a display screen that may project a simulated environment. The display screen is positioned below the motion base.

Abstract: A motion simulator ride assembly includes a motion base and a rider support assembly positioned beneath and coupled to the motion base. The rider support assembly includes a plurality of rider support units, each rider support unit of the one or more rider support units having an inversion table having a surface that may abut a rider. The inversion table may rotate about an axis to transition between a loading configuration and a ride configuration and the ride configuration positions the rider in a substantially facedown position. Each rider support unit also includes a restraint system that may secure the rider onto the inversion table. The restraint system includes a first moveable restraint and a second moveable restraint that are each coupled to the inversion table and the first and second moveable restraints may move relative to the surface to move the first and second movable restraints from an unrestrained configuration to a restrained configuration.

Abstract: In one implementation, a plurality of signature vectors from a multi-dimensional representation of a graphical object is generated. Each of the signature vectors comprises attributes that vary little in response to changes in shape, size, orientation, and visual layer appearance of the graphical object, and each of the signature vectors includes attributes based on operations of integration, differentiation, and transforms on the multi-dimensional representation of the graphical object. Each signature vector is composited into multiple portions from the plurality of signature vectors to define an appearance-invariant signature of the graphical object.