Resmed Pty Ltd

Pillar Vision Corporation

Resmed Limited

Simon Michael Lucey

Tzu-Chin Yu

Benjamin Peter Johnston

Priyanshu Gupta

Alan W Marty

John Carter

Tsu-Chin Yu

Systems and methods permit generation of a digital scan of a user's face such as for obtaining of a patient respiratory mask, or component(s) thereof, based on the digital scan. The method may include: receiving video data comprising a plurality of video frames of the user's face taken from a plurality of angles relative to the user's face, generating a three-dimensional representation of a surface of the user's face based on the plurality of video frames, receiving scale estimation data associated with the received video data, the scale estimation data indicative of a relative size of the user's face, and scaling the digital three-dimensional representation of the user's face based on the scale estimation data. In some aspects, the scale estimation data may be derived from motion information collected by the same device that collects the scan of the user's face.

Methods and systems for providing interface components for respiratory therapy

Systems and methods are provided for tracking a dribbling motion associated with a person engaged in either a training session for a sporting event or the live play of the sporting event. In sporting events, a dribbling motion can be associated with a repetitive movement or a short trajectory sequence between changes of direction of a ball, puck or other object used in the sporting event. The repetitive movement or short trajectory sequence used for dribbling can involve an up-and-down movement such as in basketball or a back-and-forth movement such as in soccer or hockey. The system can use one or more cameras to capture images of a person dribbling an object and at least one processor to analyze the images to determine and evaluate one or more characteristics associated with the dribbling motion.

Systems and methods for tracking dribbling in sporting environments

A system uses a camera, a depth sensor, and a processing module to track a moving object in an athletic playing space over time. The processing module receives image frames from the camera and depth data from the depth sensor. The processing module analyzes the depth data to identify which of the pixels are in a plane of a sufficiently large size to indicate that the identified pixels correspond to a playing surface of the athletic playing space. The processing module then determines that gravity is in a direction normal to the identified plane. By finding the direction of gravity within the images, the algorithm for calculating performance parameters based on the trajectory of a moving object within the athletic playing space can be greatly simplified, thereby decreasing the processing burdens associated with calculating the performance parameters and providing more accurate trajectory estimations with fewer measured trajectory points.

Systems and methods for monitoring objects in athletic playing spaces

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Pittsburgh, PA, United States of America

Simon Michael Lucey