Difference between revisions of "Sports"
(Created page with "[http://www.youtube.com/results?search_query=sports+artificial+intelligence+deep+learning Youtube search...] [http://www.google.com/search?q=sports+deep+machine+learning+ML .....") |
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| − | [http://www.youtube.com/results?search_query=sports+artificial+intelligence+deep+learning Youtube search...] | + | [http://www.youtube.com/results?search_query=sports+motion+artificial+intelligence+deep+learning Youtube search...] |
| − | [http://www.google.com/search?q=sports+deep+machine+learning+ML ...Google search] | + | [http://www.google.com/search?q=sports+motion+deep+machine+learning+ML ...Google search] |
* [[Case Studies]] | * [[Case Studies]] | ||
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| − | <youtube> | + | <youtube>oMx6Q3YKxXM</youtube> |
| + | <youtube>h6sA0we-iLc</youtube> | ||
| + | <youtube>bWpsXlou9Hk</youtube> | ||
| + | <youtube>66ko_cWSHBU</youtube> | ||
| + | <youtube>gVswnF11Y9A</youtube> | ||
| + | <youtube>MjViy6kyiqs</youtube> | ||
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| + | == Skeletal Motion == | ||
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| + | Fujitsu’s AI Gymnastics: The joint recognition module uses deep learning technology. The neural network model receives several multi-viewpoint depth images as input and outputs corresponding 3D joint position results. Joint recognition also requires certain adjustments and calibrations according to the human joint model, however the method behind this has not been published. A Fujitsu researcher told Synced his team worked closely with the Japanese Gymnastics Association to build up the database with a set of elements for each skill difficulty. They collected over 800 elements for male gymnasts and more than 500 elements for female gymnasts — where the elements comprise a series of basic skills from top gymnasts. Again, details on the procedure and the possible use of deep learning remain cloaked in mystery. [http://link.medium.com/FB3AAzksNT Meet Fujitsu’s AI Gymnastics Judges] | ||
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| + | <youtube>-EOgwRF6eEk</youtube> | ||
| + | <youtube>aUnJO79E2po</youtube> | ||
Revision as of 12:16, 26 January 2019
Youtube search... ...Google search
Skeletal Motion
Fujitsu’s AI Gymnastics: The joint recognition module uses deep learning technology. The neural network model receives several multi-viewpoint depth images as input and outputs corresponding 3D joint position results. Joint recognition also requires certain adjustments and calibrations according to the human joint model, however the method behind this has not been published. A Fujitsu researcher told Synced his team worked closely with the Japanese Gymnastics Association to build up the database with a set of elements for each skill difficulty. They collected over 800 elements for male gymnasts and more than 500 elements for female gymnasts — where the elements comprise a series of basic skills from top gymnasts. Again, details on the procedure and the possible use of deep learning remain cloaked in mystery. Meet Fujitsu’s AI Gymnastics Judges
