Abstract: A method for pose estimation includes receiving an image containing an object, a first pose of the object in the image, and 3D boundary features of a model corresponding to the object; computing a first pose confidence of the first pose based on the image, the 3D boundary features, and the first pose; perturbing the first pose to obtain a second pose; computing a second pose confidence of the second pose based on the image, the 3D boundary features, and the second pose; determining if the second pose confidence is greater than the first pose confidence, and; and outputting the second pose and the second pose confidence if the second pose confidence is greater than the first pose confidence.

Abstract: A method for pose estimation includes receiving an image containing an object, a first pose of the object in the image, and 3D boundary features of a model corresponding to the object; computing a first pose confidence of the first pose based on the image, the 3D boundary features, and the first pose; perturbing the first pose to obtain a second pose; computing a second pose confidence of the second pose based on the image, the 3D boundary features, and the second pose; determining if the second pose confidence is greater than the first pose confidence, and; and outputting the second pose and the second pose confidence if the second pose confidence is greater than the first pose confidence.

Abstract: A method for temporal alignment of golf club inertial measurement data and two-dimensional video for golf club swing analysis is provided. The method includes capturing inertial measurement data of a golf club swing on an inertial measurement unit (IMU), and sending the inertial measurement data of the golf club swing from the inertial measurement unit to a computing device. The computing device is configured to calculate a time bias between the inertial measurement data of the golf club swing and a two-dimensional video of the golf club swing, based on the computing device detecting an impact frame in the two-dimensional video and the computing device aligning the detected impact frame to an impact time from the captured inertial measurement data of the golf club swing.

Abstract: A method for spatial alignment of golf club inertial measurement data and two-dimensional video for golf club swing analysis is provided. The method includes capturing inertial measurement data of a golf club swing through an inertial measurement unit (IMU), and sending the inertial measurement data from the inertial measurement unit to a computing device. The computing device is configured to align a first axis of the inertial measurement data to a first axis of further inertial measurement data from a mobile device, estimate translation of the inertial measurement data to two-dimensional video captured by the mobile device, align second and third axes of the inertial measurement data of the golf club swing to second and third axes of the two-dimensional video, and overlay a projected golf club trajectory based on the aligned captured inertial measurement data onto the two-dimensional video.

Abstract: A method for spatial alignment of golf-club inertial measurement data and a three-dimensional human model for golf club swing analysis is provided. The method includes capturing inertial measurement data through an inertial measurement unit (IMU), and sending the inertial measurement data from the IMU to a computing device. The computing device is configured to determine a three-dimensional trajectory in IMU coordinate space, determine in human model coordinate space a three-dimensional trajectory of an infrared marker in a video with the video having depth or depth information, determine a transformation matrix from human model coordinate space to IMU coordinate space, perform spatial alignment of the three-dimensional trajectory and a three-dimensional human model based on the video having depth or depth information, using the transformation matrix, and overlay a projected trajectory onto the three-dimensional human model.

Abstract: A method for spatial alignment of golf-club inertial measurement data and a three-dimensional human skeleton model for golf club swing analysis are provided. The method includes capturing inertial measurement data of a golf club swing through an inertial measurement unit (IMU), and sending the inertial measurement data from the inertial measurement unit to a computing device. The computing device is configured to determine a three-dimensional trajectory in IMU coordinate space, determine in human model coordinate space a three-dimensional trajectory of a plurality of human skeleton points in a video with the video having depth or depth information, determine a transformation matrix from human model coordinate space to IMU coordinate space, and calculate an arm-golf club angle that is based on the inertial measurement data, the transformation matrix, and the three-dimensional trajectory of the plurality of human skeleton points.