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Alternating Least Square Method for Decomposing Dance Golek Menak Tensor Data
| Content Provider | Scilit |
|---|---|
| Author | Sutopo, Joko |
| Copyright Year | 2018 |
| Description | Journal: Journal of Physics: Conference Series Golek Menak Dance rhythms a body structure that is motion and geometric patterns that can be presented in the form of a vector, matrix and tensor. In this study the data obtained from the catcher dance Kinect sensor in the form of Bio Vision Format Hierarchy (BVH), which is a geometric data consisting of coordinate geometry (x, y, z), time as well as reinforcing the position of the body (skeleton). The motion data is compiled into a data tensor matrix decomposition process is then performed for a feature that can be obtained will be processed in motion classification. Alternating Least Square (ALS) methods are used in the data decomposition tensor. |
| Related Links | https://iopscience.iop.org/article/10.1088/1742-6596/1090/1/012057/pdf http://iopscience.iop.org/article/10.1088/1742-6596/1090/1/012057/pdf |
| ISSN | 17426588 |
| e-ISSN | 17426596 |
| DOI | 10.1088/1742-6596/1090/1/012057 |
| Journal | Journal of Physics: Conference Series |
| Issue Number | 1 |
| Volume Number | 1090 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2018-09-28 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of Physics: Conference Series Tensor Data Tensor Matrix Golek Menak |
| Content Type | Text |
| Resource Type | Article |
| Subject | Physics and Astronomy |
