Abstract: Embodiments of a system and method for retrieving a skill training data file, outputting the skill training data file for display on a user interface, and displaying the skill training data file are generally described herein. The skill training data file may include a set of video portions displayed in a sequence including a first passive video portion. The skill training data file may include a second video portion including visual or audible instructions directing a viewer to imagine body sensations corresponding to images shown in the second video portion. In some examples, the body sensations may be representative of muscle movements used to perform the skill.

Abstract: A system or method for training may display a student avatar and an expert avatar. A method may include capturing movement of a user attempting a technique, and generating a student avatar animation from the captured movement. The method may include retrieving a 3D expert avatar animation corresponding to the technique. The method may include displaying the 3D student avatar animation and the 3D expert avatar animation. For example, the animations may be displayed concurrently.

Abstract: A system and method may provide video content for training a user in an athletic motion or action. For example, video content may be provided with diminishing visibility to allow the user to visualize and imagine the action presented in the video content. In another example, a portion of a video content may be faded out, not displayed, or obscured to allow for visualization and imagination of the portion. In another example, video content may be presented in an manner that retains a user's interest despite repeated viewings.

Abstract: A system or method for training may display a student avatar and an expert avatar. A method may include capturing movement of a user attempting a technique, and generating a student avatar animation from the captured movement. The method may include retrieving a 3D expert avatar animation corresponding to the technique. The method may include displaying the 3D student avatar animation and the 3D expert avatar animation. For example, the animations may be displayed concurrently.

Abstract: A system and method may provide video content for training a user in an athletic motion or action. For example, video content may be provided with diminishing visibility to allow the user to visualize and imagine the action presented in the video content. In another example, a portion of a video content may be faded out, not displayed, or obscured to allow for visualization and imagination of the portion. In another example, video content may be presented in an manner that retains a user's interest despite repeated viewings.

Abstract: A system and method may be used for reference model predictive tracking and rendering. Systems and methods may use computational systems, networking, or display hardware to seamlessly allow users to see their motion in real-time. The systems and methods may provide the brain the extra visual information to help a user converge to highly efficient high-quality technique (e.g., movement control) more rapidly than other processes. An approach to generating accurate models in delayed processing may include treating depth-sensor-derived skeletal inference of body position as statistical data about the underlying motion rather than a representation of that motion itself. In an example, a process for slicing up a time-series of body constructions in a motion model may use a full time series of positions for individual body segments, creating trajectories.

Abstract: A system and method may provide video content for training a user in an athletic motion or action. For example, video content may be provided with diminishing visibility to allow the user to visualize and imagine the action presented in the video content. In another example, a portion of a video content may be faded out, not displayed, or obscured to allow for visualization and imagination of the portion. In another example, video content may be presented in an manner that retains a user's interest despite repeated viewings.

Abstract: This document describes a computer-based visual-based training system that includes five main components: video repetition, user motion capture, virtual reality training, automated feedback, and automated skill progression.

Abstract: A system or method for training may display a student avatar and an expert avatar. A method may include capturing movement of a user attempting a technique, and generating a student avatar animation from the captured movement. The method may include retrieving a 3D expert avatar animation corresponding to the technique. The method may include displaying the 3D student avatar animation and the 3D expert avatar animation. For example, the animations may be displayed concurrently.

Abstract: A system or method for training may display a student avatar and an expert avatar. A method may include capturing movement of a user attempting a technique, and generating a student avatar animation from the captured movement. The method may include retrieving a 3D expert avatar animation corresponding to the technique. The method may include displaying the 3D student avatar animation and the 3D expert avatar animation. For example, the animations may be displayed concurrently.

Abstract: A system and method may be used for reference model predictive tracking and rendering. Systems and methods may use computational systems, networking, or display hardware to seamlessly allow users to see their motion in real-time. The systems and methods may provide the brain the extra visual information to help a user converge to highly efficient high-quality technique (e.g., movement control) more rapidly than other processes. An approach to generating accurate models in delayed processing may include treating depth-sensor-derived skeletal inference of body position as statistical data about the underlying motion rather than a representation of that motion itself. In an example, a process for slicing up a time-series of body constructions in a motion model may use a full time series of positions for individual body segments, creating trajectories.

Abstract: A system or method for training may display a student avatar and an expert avatar. A method may include capturing movement of a user attempting a technique, and generating a student avatar animation from the captured movement. The method may include retrieving a 3D expert avatar animation corresponding to the technique. The method may include displaying the 3D student avatar animation and the 3D expert avatar animation. For example, the animations may be displayed concurrently.

Abstract: A system and method may provide video content for training a user in an athletic motion or action. For example, video content may be provided with diminishing visibility to allow the user to visualize and imagine the action presented in the video content. In another example, a portion of a video content may be faded out, not displayed, or obscured to allow for visualization and imagination of the portion. In another example, video content may be presented in an manner that retains a user's interest despite repeated viewings.

Abstract: System and methods may provide coaching feedback. An example method may include presenting a visual display of a target movement pattern for a user to mimic. The user may be tracked during an attempt to mimic the target movement pattern. Real-time feedback may be provided, for example during the tracking. The feedback may include a visual effect separate from the target movement pattern. For example, the visual effect may indicate a deviation of the attempt from the target movement pattern. In an example, the visual effect may be an arrow, a change in background color or pattern, or the like. In an example, instead of or in addition to the visual effect, an audible effect may be used.

Abstract: This document describes a computer-based visual-based training system that includes five main components: video repetition, user motion capture, virtual reality training, automated feedback, and automated skill progression. A system for delivering video to a viewer, the system comprising: a video selection module to select a video segment from a plurality of video segments, the plurality of video segments including content of demonstrations of a skill; a video presentation module to present the video segment multiple times to a user during a visual-based training session to train the user in the skill; and a user monitor module to determine that the user has become inattentive, wherein the video selection module is to obtain a replacement video segment in response to determining that the user has become inattentive, and wherein the video presentation module is to present the replacement video segment to the user.