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A Comparative Analysis of the Motion Recognition Rate by Direction of Push-up Activity Using ELM Algorithm
Sangwoong Kim, Jaeyeong Ryu, Jiwoo Jeong, Dongyeong Kim, Youngho Chai
http://doi.org/10.5626/JOK.2023.50.12.1031
In this paper, we propose a motion recognition system for each direction of push-up activity using ELM algorithm. In the proposed system, a recognized motion consists of three parts. The first part is the process of reading motion data. In the process, the data acquired from the motion capture system is entered into the system"s memory. Then, the system extracts a feature vector from the motion data. The 3D position data converted from the quaternion data value of the motion data is projected onto the X-Y plane, Y-Z plane and Z-X plane of the system, and the values are used as the final feature vector. Feature vectors projected on each plane train different ELM, and a total of three ELM are learned. Finally, by inputting test data to each learned ELM, the final recognition result value is derived. First, before obtaining motion data, as the data set to be trained, general push-ups performed in the correct posture were selected. Second, the upper chest did not go down all the way. Third, only the buttocks came up when bending and lifting. Four, when bending your elbows move away from your upper chest. Finally, mix these motions to build a test dataset.
Joint Sphere based 3D Animation Motion Authoring for Joint Units
Jieun Lee, Taehwan Kwon, Youngho Chai
http://doi.org/10.5626/JOK.2021.48.4.453
Research that creates natural human movement in the motion work of 3D animation is progressing in various fields with the development of technology. For more natural and realistic animation, numerous animators have worked directly on the Key-frame or received motion capture to author the motion. However, since the process of making several keys per second or measuring the motion with a sensor is an inefficient process despite simple motion authoring and modification, it is necessary to solve the problems for simple motion modification. In this study, we have analyzed the existing motion authoring method, Key-frame animation, and motion capture. Also, we propose a new motion authoring method that complements the disadvantages of the existing method. The human movement is recorded through the joint - sphere attached to each joint of 3D character and the recorded pattern and motion are revised. As the motion is modified through trajectory modification, the rotation angle and joints of each part of the model do not need to be adjusted one by one. Apparently, there is an increase in convenience along with the reduction in the working time compared to the existing motion authoring system.
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