Abstract: Certain aspects provide a method of generating a physical activity model, including: receiving, via a motion capture device, motion data corresponding to a plurality of key states associated with a physical activity sequence; for each respective key state in the plurality of key states: determining a plurality of joint positions associated with the respective key state; determining a plurality of body segment positions associated with the respective key state based on the plurality of joint positions; determining a plurality of inter-state differentiation variables for the respective key state; determining one or more state characteristic metrics for the respective key state; and determining a classifier for the respective key state based on the one or more state characteristic metrics; and defining a physical activity model based on the one or more state characteristic metrics and the classifier associated with each key state.

Abstract: Certain aspects of the present disclosure provide a method for assessing the performance of a physical activity, including: recording motion capture data while a training subject demonstrates a physical activity sequence; identifying one or more primary body elements based on the motion capture data; deriving one or more path characteristic metrics based on a state variable set and the one or more primary body elements, wherein the state variable set defines the state of a body at any given time; and defining an ideal activity path of the physical activity sequence based on the one or more path characteristic metrics.

Abstract: Certain aspects of the present disclosure provide a method for assessing the performance of a physical activity, including: recording motion capture data while a training subject demonstrates a physical activity sequence; identifying one or more primary body elements based on the motion capture data; deriving one or more path characteristic metrics based on a state variable set and the one or more primary body elements, wherein the state variable set defines the state of a body at any given time; and defining an ideal activity path of the physical activity sequence based on the one or more path characteristic metrics.

Abstract: Certain aspects of the present disclosure provide a method for assessing the performance of a physical activity, including: recording motion capture data while a training subject demonstrates a physical activity sequence; identifying one or more primary body elements based on the motion capture data; deriving one or more path characteristic metrics based on a state variable set and the one or more primary body elements, wherein the state variable set defines the state of a body at any given time; and defining an ideal activity path of the physical activity sequence based on the one or more path characteristic metrics.

Abstract: Certain aspects provide a method of generating a physical activity model, including: receiving, via a motion capture device, motion data corresponding to a plurality of key states associated with a physical activity sequence; for each respective key state in the plurality of key states: determining a plurality of joint positions associated with the respective key state; determining a plurality of body segment positions associated with the respective key state based on the plurality of joint positions; determining a plurality of inter-state differentiation variables for the respective key state; determining one or more state characteristic metrics for the respective key state; and determining a classifier for the respective key state based on the one or more state characteristic metrics; and defining a physical activity model based on the one or more state characteristic metrics and the classifier associated with each key state.

Abstract: Certain aspects provide a method of generating a physical activity model, including: receiving, via a motion capture device, motion data corresponding to a plurality of key states associated with a physical activity sequence; for each respective key state in the plurality of key states: determining a plurality of joint positions associated with the respective key state; determining a plurality of body segment positions associated with the respective key state based on the plurality of joint positions; determining a plurality of inter-state differentiation variables for the respective key state; determining one or more state characteristic metrics for the respective key state; and determining a classifier for the respective key state based on the one or more state characteristic metrics; and defining a physical activity model based on the one or more state characteristic metrics and the classifier associated with each key state.

Abstract: Certain aspects of the present disclosure provide a method for assessing the performance of a physical activity, including: recording motion capture data while a training subject demonstrates a physical activity sequence; identifying one or more primary body elements based on the motion capture data; deriving one or more path characteristic metrics based on a state variable set and the one or more primary body elements, wherein the state variable set defines the state of a body at any given time; and defining an ideal activity path of the physical activity sequence based on the one or more path characteristic metrics.

Abstract: Certain aspects provide a method of generating a physical activity model, including: receiving, via a motion capture device, motion data corresponding to a plurality of key states associated with a physical activity sequence; for each respective key state in the plurality of key states: determining a plurality of joint positions associated with the respective key state; determining a plurality of body segment positions associated with the respective key state based on the plurality of joint positions; determining a plurality of inter-state differentiation variables for the respective key state; determining one or more state characteristic metrics for the respective key state; and determining a classifier for the respective key state based on the one or more state characteristic metrics; and defining a physical activity model based on the one or more state characteristic metrics and the classifier associated with each key state.

Abstract: Systems and methods for facilitating gaze tracking based on multiple images are disclosed. A gaze tracking system includes an optical module configured to receive illumination from a target and provide a background and tracking channel outputs, the background channel including ambient illumination and the tracking channel including ambient and controlled added illumination at a targeted range of wavelengths. The background and tracking channel outputs are provided to an imaging module configured to provide an associated set of background and tracking images to a processor module to facilitate gaze tracking. Controlled illumination of the target may be provided by an illumination element, in conjunction with the processor module, to facilitate gaze tracking.

Abstract: Apparatus and methods for enhancing the performance of an imager in applications such as gaze tracking are described. An enhanced image sensor includes a sensor pixel array, a filter array optically coupled to the pixel array and a filter map including data associated with one or more characteristics of the filter array. The filter array characteristics can be preconfigured and/or dynamically reconfigured to allow for wavelength specific pixel capture, with the filter map correspondingly adjusted in response to changes in the filter array characteristics.

Abstract: Systems and methods for facilitating gaze tracking based on multiple images are disclosed. A gaze tracking system includes an optical module configured to receive illumination from a target and provide a background and tracking channel outputs, the background channel including ambient illumination and the tracking channel including ambient and controlled added illumination at a targeted range of wavelengths. The background and tracking channel outputs are provided to an imaging module configured to provide an associated set of background and tracking images to a processor module to facilitate gaze tracking. Controlled illumination of the target may be provided by an illumination element, in conjunction with the processor module, to facilitate gaze tracking.

Abstract: A system for maintaining a substantially fixed distance between a localized surface of the heart and the distal end of a surgical device for use in endoscopic surgical procedures. The system comprises a stabilizer for minimizing localized motion of the heart in attached communication with a sensor for sensing localized motion of the heart in a region proximal the stabilizer and a controller in electrical communication with the sensor for processing data indicative of the localized motion of the heart in a region proximal the stabilizer. The processor is in electrical communication with a controller for a robotic arm that holds an instrument for use in an endoscopic surgical procedure, said instrument having a proximal and distal end, and said robotic arm in electrical communication with the controller.