Power transformation simulation human body motion capturing method based on optical and inertial body feeling data fusion
A human body motion and data fusion technology, applied in the field of substation simulation human motion capture, can solve the problems of inability to control the cumulative error of human body positioning, inability to work, and large amount of calculation, etc., to achieve semantic mapping and fine motion recognition, low cost Effect
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[0021] A method for capturing motion of a human body by means of fusion of optical and inertial somatosensory data, the method comprising the following steps:
[0022] 1) Obtain a set of human motion data through Kinect somatosensory devices and inertial sensors;
[0023] 2) Perform time alignment and spatial reprojection on the two sets of acquired human motion data, and use the Kalman filter algorithm to perform data fusion on the two sets of human motion data, thereby obtaining a high-quality human skeleton model;
[0024] 3) Based on the obtained human skeleton model, calculate the relative angles, relative positions and motion speeds of joints, and extract human motion features to identify actions, and then drive the virtual human in the virtual environment of power transformation simulation to complete the corresponding actions.
[0025] Described step 1) comprises the steps:
[0026] 1.1) The Kinect somatosensory device recognizes the outline of the human body from the...
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