Estimating ground reaction force (GRF)from trunk rotation during golf-swing : Application of deep learning in sport biomechanics
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | KIM, BumJoon | ko |
| dc.contributor.author | Choi, Hyeob | ko |
| dc.contributor.author | Park, Su-Kyung | ko |
| dc.date.accessioned | 2018-12-20T07:34:20Z | - |
| dc.date.available | 2018-12-20T07:34:20Z | - |
| dc.date.created | 2018-12-13 | - |
| dc.date.issued | 2018-08-21 | - |
| dc.identifier.citation | Emerging Technologies in Mechanical Engineering(ETME) | - |
| dc.identifier.uri | http://hdl.handle.net/10203/248516 | - |
| dc.language | English | - |
| dc.publisher | The Korean Society of Mechanical Engineers (KSME) | - |
| dc.title | Estimating ground reaction force (GRF)from trunk rotation during golf-swing : Application of deep learning in sport biomechanics | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | Emerging Technologies in Mechanical Engineering(ETME) | - |
| dc.identifier.conferencecountry | KO | - |
| dc.identifier.conferencelocation | Ramada Plaza Hotel, Jeju Island | - |
| dc.contributor.localauthor | Park, Su-Kyung | - |
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