DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Myeongsub | ko |
dc.contributor.author | Park, Su-Kyung | ko |
dc.date.accessioned | 2024-06-19T08:00:33Z | - |
dc.date.available | 2024-06-19T08:00:33Z | - |
dc.date.created | 2024-06-19 | - |
dc.date.created | 2024-06-19 | - |
dc.date.created | 2024-06-19 | - |
dc.date.issued | 2024-04 | - |
dc.identifier.citation | SCIENTIFIC REPORTS, v.14, no.1 | - |
dc.identifier.issn | 2045-2322 | - |
dc.identifier.uri | http://hdl.handle.net/10203/319870 | - |
dc.description.abstract | In this study, we address two technical challenges to enhance golf swing trajectory accuracy using a wrist-worn inertial sensor: orientation estimation and drift error mitigation. We extrapolated consistent sensor orientation from specific address-phase signal segments and trained the estimation with a convolutional neural network. We then mitigated drift error by applying a constraint on wrist speed at the address, backswing top, and finish, and ensuring that the wrist's finish displacement aligns with a virtual circle on the 3D swing plane. To verify the proposed methods, we gathered data from twenty male right-handed golfers, including professionals and amateurs, using a driver and a 7-iron. The orientation estimation error was about 60% of the baseline, comparable to studies requiring additional sensor information or calibration poses. The drift error was halved and the single-inertial-sensor tracking performance across all swing phases was about 17 cm, on par with multimodal approaches. This study introduces a novel signal processing method for tracking rapid, wide-ranging motions, such as a golf swing, while maintaining user convenience. Our results could impact the burgeoning field of daily motion monitoring for health care, especially with the increasing prevalence of wearable devices like smartwatches. | - |
dc.language | English | - |
dc.publisher | NATURE PORTFOLIO | - |
dc.title | Enhancing accuracy and convenience of golf swing tracking with a wrist-worn single inertial sensor | - |
dc.type | Article | - |
dc.identifier.wosid | 001206473300014 | - |
dc.identifier.scopusid | 2-s2.0-85191075455 | - |
dc.type.rims | ART | - |
dc.citation.volume | 14 | - |
dc.citation.issue | 1 | - |
dc.citation.publicationname | SCIENTIFIC REPORTS | - |
dc.identifier.doi | 10.1038/s41598-024-59949-w | - |
dc.contributor.localauthor | Park, Su-Kyung | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordPlus | MEASUREMENT UNITS | - |
dc.subject.keywordPlus | WEARABLE SENSORS | - |
dc.subject.keywordPlus | MOTION | - |
dc.subject.keywordPlus | SYSTEM | - |
dc.subject.keywordPlus | KINEMATICS | - |
dc.subject.keywordPlus | BIOMECHANICS | - |
dc.subject.keywordPlus | RECOGNITION | - |
dc.subject.keywordPlus | VARIABILITY | - |
dc.subject.keywordPlus | PERFORMANCE | - |
dc.subject.keywordPlus | INTEGRATION | - |
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